Multi-gene expression assay for prostate carcinoma

ABSTRACT

Prostate cancer is the most prevalent solid cancer among men in Western Countries. The clinical behavior of localized prostate cancer is highly variable. Hence, there is a high clinical need for precise biomarkers for identification of aggressive disease in addition to established clinical parameters. The present invention relates to a prognostic multi-gene expression score based on transcriptome-wide gene expression analysis providing a method for calculating a score (ProstaTrend score) that allows the prediction of death of disease (DoD) and/or biochemical recurrence (BCR), long-term prognosis and outcome of prostate cancer patients. The present invention is an independent predictor of prognosis and is suitable for the identification of high-risk patients among patients with a clinical classification of low or intermediate risk prior and after surgery, such as radical prostatectomy.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a national stage application under 35 U.S.C. § 371 of International Application No. PCT/EP2021/060092, filed on Apr. 19, 2021, which claims the benefit of European Patent Application No. 20170321.2, filed on Apr. 20, 2020, The content of these earlier filed applications are hereby incorporated herein by reference in their entirety.

FIELD OF THE INVENTION

The present invention is directed to a method for predicting the outcome of prostate carcinoma patients. The present invention (ProstaTrend) provides a method for molecular patient risk stratification after treatment, such as radical prostatectomy. The present invention also offers a method that can be used in the clinical decision-making process for potential scheduling of adjuvant therapy or evaluating biopsies in the context of active surveillance and focal therapies.

BACKGROUND OF THE INVENTION

Prostate cancer is the most common solid cancer among men both in the US and in Europe. Existing diagnostic methods are often unable to precisely classify risk groups, thereby leading similarly to overdiagnosis and overtreatment as well as to insufficient detection of high-risk patients. An underlying reason is the highly variable clinical behavior of localized prostate cancer and that common classification methods of prostate cancer are often based on clinical and histological parameters only. Aggressive types of prostate cancer require radical treatment while indolent ones may be suitable for active surveillance or organ preserving focal therapies. Yet, stratification by clinical risk categories or available molecular tests lack sufficient precision. Therefore, additional molecular markers are needed to improve the stratification and outcome prediction in men with prostate cancer. Currently, tools for risk stratification based on gene expression are available and have been shown to outperform risk assessment by clinical parameters alone. An example for risk stratification tools are Oncotype (Cullen et al., 2015; Eur Urol), which predicts adverse pathology after biopsy, Decipher (Erho et al., 2013; PLoS ONE), which predicts metastasis-free survival after radical prostatectomy (RP) and Prolaris (Cuzick et al., 2015; Br J Cancer and 2011; Lancet Oncol), which is the only assay suitable for long-term prognosis after surgery, such as RP. However, none of the previously cited tools evaluate all tumor-relevant signaling pathways and therefore provide a limited molecular risk discrimination. Therefore, the problem to be solved is the persisting high clinical need for improved methods using gene expression signatures for long-term prognosis for prostate cancer patients prior and after surgery.

The present invention aims to solve the problem described above, which can be summarized as the urgent need for improved classification and risk stratification of prostate cancer patients. The solution provided by the present invention comprises the calculation of a predictive score on the basis of the expression values of up to 1396 gene transcripts (RNA biomarkers) from a set of genes associated with (prostate) cancer and (prostate) cancer patient outcome.

The inventors developed a method for calculating and applying a prognostic multi-gene expression score based on transcriptome-wide gene expression analysis (ProstaTrend), which allows improved molecular risk stratification, improved prediction of long-term prognosis and counselling of prostate cancer patients after surgery, such as radical prostatectomy, regarding adjuvant therapy options as well as evaluating biopsies prior to radical prostatectomy in the context of active surveillance and focal therapies.

SUMMARY OF THE INVENTION

The present invention provides a method (ProstaTrend) for molecular risk stratification and improved prediction of long-term prognosis for prostate cancer patients with the method comprising calculating and applying a prognostic multi-gene expression score (herein also referred to as ProstaTrend score) based on the expression of a set of genes that are significantly associated with prostate cancer prognosis in a patient sample. The calculation of the prognostic ProstaTrend score comprises the normalization and standardization of the expression values (abundancies) of marker genes (Table 2) in a patient sample and multiplication with the respective logHR values (listed in Table 2). The method disclosed by the present invention further allows the prediction of death of disease (DoD) and biochemical recurrence (BCR) for long-term prognosis and outcome for prostate cancer patients. The method provided by the invention (ProstaTrend) is independent from clinical parameters after diagnosis and facilitates the identification of high-risk patients among patients with low or intermediate histological risk profiles. The herein disclosed invention also relates to a method for use in the treatment of prostate cancer, wherein the outcome or classification of the disease of a prostate carcinoma patient from whom the sample was derived is predicted based on the calculated gene expression score value.

The invention also relates to a method for predicting the outcome or classifying the disease of a prostate carcinoma patient, the method comprising the steps of: a) obtaining a sample from said patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least one or more different target nucleic acid sequences, c) normalizing of the target nucleic acid sequence abundancies against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid using a corresponding reference value and e) calculating a score value, and wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.

Herein, each of the one or more different target nucleic acid sequences may be identical to, without being limited to, the nucleic acid sequence of a corresponding specific reference gene, a transcript or an isoform of a reference gene, which may be selected, without being limited to, from the group of reference genes listed in Table 2.

Herein, the weighting of said abundancy of the target nucleic acids may be performed, without being limited to, by weighting said abundancy of the target nucleic acids by the logHR value of a corresponding reference gene listed in Table 2, wherein the nucleic acid sequence of said reference gene, or of a transcript or isoform thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences from said sample.

Herein, a biological sample may be derived from, without being limited to, a human patient, a cell culture, an “organ-on-a-chip” model, a microphysiological system or an animal. Herein, a biological sample may be an organ, a tissue, a biopsy, a liquid biopsy, a blood sample, a sample from a Patient Derived Xenograft, a sample from an “organ-on-a-chip” model, a sample from a microphysiological system, a cell line or cell culture of a patient-derived sample of a human patient, an animal or an animal model, of a cell line or of an organoid.

Furthermore, herein the analysis of the nucleic acid sequences may comprise, but is not limited to, optional lysis of the tissue and/or the cells and optional subsequent purification of respective nucleic acids followed by optional fragmentation, enzymatic digestion or ligation of respective nucleic acids, reverse transcription, microarray analysis, Next Generation Sequencing analysis and any other Sequencing method such as, but not limited to, nanopore sequencing, third-generation sequencing, Sanger sequencing analysis, digital or droplet PCR, quantitative Real-time PCR analysis and/or PCR amplification of the nucleic acids derived from respective sample and/or a sequential or parallel combination of previously listed steps and techniques.

Herein, Next Generation Sequencing relates to, without being limited to, RNA sequencing, DNA sequencing, Whole Genome Sequencing, Whole Exome Sequencing, Single Cell Sequencing, Targeted Sequencing, NanoString Hyb & Seq NGS analysis, nCounter-analysis, sequencing methods allowing two-dimensional resolution of transcriptome or epigenome patterns in tissues such as, but not limited to, spatial sequencing or sequencing methods allowing the characterization of chromatin status such as, but not limited to, ATAC-Seq or ChIP-Seq.

Herein, the gene expression of said reference genes in said sample can be analyzed by, without being limited to, transcriptome-wide gene expression analysis comprising, without limitation to, the analysis techniques and methods of nucleic acids and nucleic acid sequences described herein. Herein, the gene expression of reference genes in said sample can be calculated, without being limited to, using the abundancies of target nucleic acids and/or target nucleic acid sequences in or obtained from a patient sample.

The score, herein also referred to as ProstaTrend score, may be calculated herein, without being limited to, by using the expression values of said target genes and/or the abundancies of each one or more target nucleic acid sequences in said sample or derived from said sample, which each possess an identical nucleic acid sequence to one of the genes, or of a transcript or isoform thereof, that are listed in Table 2.

In greater detail, in the herein disclosed method for predicting the outcome or classifying the disease of prostate carcinoma patients said score value for said patient may be calculated by, without being limited to, using the abundancies of said target nucleic acid sequences in said sample to calculate expression values for all corresponding reference genes in said sample, and wherein for each reference gene the abundancies of all target nucleic sequences that are identical to the nucleic acid sequence of at least one or more transcripts and/or isoforms of said reference gene are summarized for each reference gene, and wherein for each patient k the median over the weighted standardized gene expression values of all reference genes selected for said calculation g_(i) is calculated applying:

score_(k)=Median(logHR_(i) *g _(i)), and

wherein the weight for each significant gene i is the estimated univariate log hazard ratio (logHR) from the Cox regression meta-analysis of a training cohort to account for the direction of the prognostic effect of said gene i as well as for the effect size, and

wherein a normalization of said gene expression values is done cohort-wise, if a set of samples from the same cohort is provided, or, in case of a single sample, an add-on normalization with respect to the normalized gene expression values of a training cohort is conducted, and wherein a negative value of said score characterizes said patient with lower risk of an adverse prognosis and/or death of disease and an increased chance of extended biochemical recurrence-free and/or death of disease-free survival, and a positive value of said score characterizes said patient with a higher risk of an adverse prognosis and/or death of disease and an decreased chance of extended biochemical recurrence-free and/or death of disease-free survival.

The herein disclose invention may also relate to a method for use in the treatment of prostate cancer, with the method comprising the steps of: a) obtaining a sample from a patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least one or more different target nucleic acid sequences, c) normalizing of the target nucleic acid sequence abundancies against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid using a corresponding reference value and calculating a score value, and wherein the outcome or classification of the disease of a prostate carcinoma patient from whom said sample was derived is predicted based on said score value, and wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 : Overview of tissue specimens included in the training cohort for the ProstaTrend score calculation.

A flowchart depicting the number of patients included in the training cohort and reasons for exclusion according to REMARK (McShane et al., 2005; J Natl Cancer Inst.). For 164 patients who underwent RP fresh-frozen (FF) tumor specimens fulfilled all inclusion criteria and gene expression variation by custom gene expression microarrays (FF_array_RP) was assessed. A subset of 40 patients was selected to perform a strand-specific transcriptome-wide sequencing (FF_seq_RP). For 14 of those patients, differential gene expression was confirmed in an FFPE tissue specimen by strand-specific RNA-seq. All but one sample passed the quality filter and entered the meta-analysis (FFPE_seq_RP). Gene expression variation in FFPE biopsies was assessed for 25 patients from an independent cohort with strand-specific RNA-seq. Of those, 16 samples passed the quality filter and entered the meta-analysis (FFPE_seq_Bx). n denotes the number of patients for which tissue specimens were processed. The number of DoD (death because of disease) events (primary endpoint) included in the meta-analysis is presented for each cohort. RIN corresponds to the RNA integrity number.

FIG. 2 : Significant discrimination of different prostate cancer risk groups, characterized by percentage of BCR-free survival, when applying the method described by the present invention.

FIG. 2 shows the prognostic value of the herein disclosed gene expression signature (which is also shown in Table 2 and herein also referred to as gene expression values of reference genes) in an independent patient cohort (“TCGA PRAD”, n=332 samples) with the primary endpoint of BCR. The FIG. 2A depicts Kaplan-Meier analysis and log-rank test of patients with a ProstaTrend score>0 (increased risk) compared to patients with ProstaTrend score 0 (reduced risk). Grey shades depict the 95%-confidence interval for Kaplan-Meier curves. The curves were truncated if the number of patients at risk dropped below ten in any arm. FIG. 2B further assesses the prognostic value of the herein disclosed score by multivariable Cox proportional hazard regression using the score on a continuous scale and adjusting for Gleason grading groups (GG) pathological stage and positive resection status.

FIG. 3 : Statistical analysis of performance of the continuous ProstaTrend score.

Statistical analysis was carried out evaluating the performance of the continuous ProstaTrend score, relating to the herein described invention, distinguishing patients with and without BCR confirming a significant correlation of the invention (ProstaTrend score) with BCR (p=1.7e⁻⁰⁵) and providing the estimation of the conditional probability of BCR at a given score. The figure depicts logistic regression analysis for the ProstaTrend score and BCR. Patients with BCR are plotted in grey scattered around the horizontal axis at 1. Patients without BCR are depicted in black at the bottom of the graph scattered around 0. The dashed line indicates the overall frequency of BCR in the “TCGA PRAD” patient cohort (13%). The logistic regression curve represents the estimated conditional probability of BCR at a given ProstaTrend score.

FIG. 4 : Prognostic value of the gene expression signature of the ProstaTend reference gene set in comparison to standard Gleason scoring.

The present invention (ProstaTrend score) allows for significant discrimination of patients with low/intermediate and high Gleason score (GS; n=186), characterized by percentage of BCR-free survival. FIG. 4A shows the prognostic value of the herein disclosed reference gene expression signature (see also Table 2) for patients with a ProstaTrend score>0 (increased risk) compared to patients with ProstaTrend score≤0 (reduced risk) separately for patients with GS >7 and GS ≤7. For only ˜20% (38/186) of the patients in the low/intermediate GS group, the gene expression indicated an increased risk (ProstaTrend score>0). Patients at risk are displayed at the bottom of the graphic. The curves were truncated if the number of patients at risk dropped below five in any arm. FIG. 4B shows individual ProstaTrend scores for patients within different Gleason subgroups. A vertical black line indicates the median ProstaTrend score for each group.

FIG. 5 : Prognostic value of the ProstaTrend reference gene expression signature (listed in Table 2) in the training cohort (n=164 samples) with the primary endpoint DoD.

The present invention (ProstaTrend score) allows for significant discrimination of different risk groups, characterized by percentage of “death of disease” (DoD)-free survival. The FIG. 5A depicts Kaplan-Meier analysis and log-rank test of patients with a ProstaTrend score>0 (increased risk) compared to patients with ProstaTrend score 0 (reduced risk). Grey shades depict the 95%-confidence interval for Kaplan-Meier curves. The curves were truncated if the number of patients at risk dropped below ten in any arm. FIG. 5B further assesses the prognostic value of the score by multivariable Cox proportional hazard regression using the ProstaTrend score on a continuous scale and adjusting for Gleason grading groups (GG) ≥3 and positive resection status. Adjusting the model for pathological stage was not reasonable, because no DoD cases were observed for low risk pathological stage (pT2). Since the cohort was part of the training dataset leave-one-out cross validation (LOOCV) was applied for the ProstaTrend score calculation.

FIG. 6 : Biological characterization of the ProstaTrend reference gene signature (Table 2) for DoD.

(A) Representation of the “FF_array_RP” dataset using Self-organizing maps (R-package oposSOM v.1.16). The map illustrates the distribution of overexpressed sets of correlated genes (spots) across the SOM landscape in tumor samples. Spots that significantly enrich prognostic genes (i.e. genes listed in Table 2) after adjusting for multiple testing by Bonferroni correction (adjusted p-value<0.05) are color-coded and annotated. The adjusted p-values for the enrichment of prognostic genes are 1.1*10-104 for spot B, 1.9*10⁻¹⁸ for spot A, 3.4*10⁻¹⁰ for spot I, 8.7*10⁻⁰⁸ for spot S, 1.2*10⁻⁰⁶ for spot J and 2.1*10⁻⁰³ for spot V. (B) Box plot of the logHRs for the prognostic genes of significantly enriched spots. (C) Spots enriched with prognostic genes are sorted according to the number of included prognostic genes. If genes of specific biological pathways were enriched, spots were assigned to a functional signature of gene ontology (GO) or gene-sets collected from publications and independent analyses that are part of the oposSOM package. The top five genes (ranked decreasingly by correlation with mean spot expression profile) are shown for each spot. “#” indicates genes only included in Prolaris, Oncotype and/or Decipher signatures but not in the ProstaTrend gene signature (Table 2). “##” indicates genes included in the ProstaTrend signature, but not in the Prolaris, Oncotype and/or Decipher signatures, and “###” indicates genes that are occurring in the ProstaTrend signature and in the Prolaris, Oncotype and/or Decipher signatures. (D) Bar plots, depicting the distribution of gene types (biotypes) among all genes in the spots, significantly enriched with prognostic genes (left panel) and the distribution of gene types (biotypes) included in the spot and the ProstaTrend score (right panel). The y-axis is square-root-scaled to ensure readability for small groups. (E) Kaplan-Meier curves for DoD for patients with mean expression of the genes in the respective spot>0 compared to patients with mean expression of genes in the respective spot 0. The prognostic value of the spots was assessed with a log-rank test. Ig/TcR: immunoglobulin/T-cell receptor; lncRNA: long non-coding RNA; small ncRNA: non-coding RNA.

FIG. 7 : Comparison of different prognostic scores in the “TCGA PRAD” cohort (n=332 samples).

The different scores were computed exactly as the herein disclosed prognostic ProstaTrend score but for different selections of ProstaTrend reference genes (selected from Table 2) and the calculated scores were applied to the “TCGA PRAD” patient cohort to predict BCR-free survival. Kaplan-Meier curves were truncated if the number of patients at risk dropped below ten in any arm. (A) The same Kaplan-Meier curve as presented in FIG. 2A but based only on genes that are not included in the Prolaris, Oncotype or Decipher marker sets. (B) The score values of each sample in the “TCGA PRAD” patient cohort compared between the complete reference gene set (Table 2) and the reduced set selected from Table 2, but without genes that are part of the Prolaris, Oncotype or Decipher marker gene sets. (C) Kaplan-Meier curve using only expression data of the genes in the Prolaris marker set for score calculation. (D) The score values of each sample in “TCGA PRAD” patient cohort compared between the reference gene set disclosed by the present invention (Table 2) and the Prolaris marker gene set.

FIG. 8 : Impact of number of reference genes selected from Table 2 for the classification of patients from the “TCGA PRAD” patient cohort.

AUC (area under curve) for classification of biochemical recurrence (yes/no) in the “TCGA_PRAD” validation cohort is shown. AUC is estimated for n=1 to n=1396 genes from the complete set of the herein disclosed gene set (Table 2), which is used to calculate the ProstaTrend score. For each set N=100 bootstrap samples (with replacement) were evaluated, AUC for classification of biochemical recurrence calculated and plotted. With increasing size of the gene set the AUC improves and the variation decreases. For roughly n˜[100-300] the AUC is ˜0.7 and the increase of AUC decreases.

FIG. 9 : Impact of number of reference genes selected from Table 2 for the classification in an independent validation cohort of biopsy specimen (UKDP cohort).

AUC for classification of biochemical recurrence (yes/no) in this cohort is shown. AUC is estimated for n=1 to n=1396 genes from the complete set of the herein disclosed gene set (Table 2), which is used to calculate the ProstaTrend score. With increasing size of the gene set the AUC increases up to 0.68 at ˜n=400 genes (old FFPE specimen excluded).

FIG. 10 : Results of the univariate fixed-effect meta-analysis of Cox proportional hazard models in FF RP tissue, FFPE RP tissue, and FFPE biopsies.

For each reference gene (Table 2), a univariate fixed-effect meta-analysis of Cox-regression models in FF RP tissue (FF_array_RP and FF_seq_RP), FFPE RP tissue (FFPE_seq_RP) and FFPE biopsies (FFPE_seq_Bx) was conducted to identify genes with expression changes significantly associated with DoD. (A) An exemplary result of the conducted meta-analysis showing the output for the gene NUSAP1 (included in our prognostic score as well as in the Prolaris signature). (B) A histogram of p-values for the univariate fixed-effect meta-analysis of all genes included in the analysis. The histogram shows a strong enrichment for p-values near zero indicating an association with prognosis for a substantial fraction of genes. The estimated proportions of true and false null hypotheses by fitting a mixture model using the R-package fdrtool are 67.4% (null component: grey dotted line) and 32.6% (alternative component: solid black line), respectively. (C) Forest plot of the overall logHRs and corresponding 95% confidence intervals (95%-CI) for all genes included in the ProstaTrend score, i.e., all genes with tail-based false discovery rate (Fdr) <0.05 (n=1396). LogHRs are colored according to the particular gene biotype. For protein-coding genes, the y-axis is condensed to ensure readability for the smaller non-protein coding gene groups.

Table 1: Prognostic value of dichotomized ProstaTrend score compared to clinical features in an independent cohort (“TCGA PRAD”, n=332 samples) with the primary endpoint BCR.

The prognostic value of dichotomized ProstaTrend and clinical risk factors that are available for the “TCGA PRAD” patient cohort was assessed by Cox proportional hazard regression. We analyzed dichotomized ProstaTrend score values (>0 vs ≤0), i.e. assigned value 0 to a patient if the patients' ProstaTrend score≤0 and assigned value 1 to a patient if the patients' ProstaTrend score>0. We analysed PSA on the log-scale and age as a continuous variable. The GS was assessed based on RP tissue and Gleason grading groups (GG)≥3 was compared to GG <3. For resection status we compared R+vs R0. The upper part of the table shows univariate results, the lower part contains pairwise analysis of the dichotomized ProstaTrend score (see definition above) and each clinical feature. The bottom line shows the result of the cox regression including ProstaTrend, GG and pathological stage, i.e. all clinical features that remained significant in a pairwise model with the dichotomized ProstaTrend score.

Table 2: List of reference genes, herein also referred to as prognostic genes, used to calculate the ProstaTrend score according to the present invention.

To identify genes associated with DoD we applied weighted univariate Cox regression analysis on a set of 20,821 genes that passed the expression quality filter for all included training cohorts separately and used the estimated log hazard-ratios (logHR) and the respective standard errors (SEs) in a fixed-effect-model meta-analysis. For a conservative correction for multiple testing, we selected the 1,396 genes with a tail-based Fdr <0.05 as a marker set including 1,376 known genes and 20 novel genes.

The logHR values in the present table are used during the calculation of the ProstaTrend score as a weighting factor for the respective gene. After this step these weighted genes are combined by the median. Genomic position of genes is w.r.t. human genome assembly hg19.

Table 3: Samples of the validation patient cohort “TCGA PRAD”.

Table providing for each sample of the validation patient cohort (“TCGA PRAD”) the ID, the calculated ProstaTrend score, occurrence of biochemical recurrence within follow-up, and the follow-up time in days.

Table 4: Samples of the training patient cohort “FF_array_RP”.

Table providing for each sample of a training patient cohort (“FF_array_RP”) the ID, the calculated ProstaTrend score (with leave-one out cross validation), occurrence of DoD within follow-up, and follow-up time in years.

Table 5: Prognostic value of continuous ProstaTrend score compared to clinical features in an independent cohort (“TCGA PRAD”, n=332 samples) with the primary endpoint BCR.

We assessed the prognostic value of the continuous ProstaTrend score and clinical risk factors that are available for the “TCGA PRAD” cohort by Cox proportional hazard regression. We analyzed continuous ProstaTrend score, PSA on the log-scale and age as a continuous variable. The GS was assessed based on RP tissue and Gleason Grading Groups (GG) ≥3 was compared to GG <3. For resection status we compared R+vs R0. The upper part of the table shows univariate results, the lower part contains pairwise analysis of ProstaTrend and each clinical feature. The bottom line shows the result of the cox regression including ProstaTrend, GG and pathological stage, i.e. all clinical variables that remained significant in the pairwise analysis with ProstaTrend.

DETAILED DESCRIPTION OF THE INVENTION

The present invention relates to a method (ProstaTrend) for predicting the outcome and/or classifying the disease of prostate carcinoma patients, wherein the method comprises calculating and applying a prognostic multi-gene expression score (ProstaTrend score) based on the expression of a set of genes that are significantly associated with prostate cancer prognosis (Table 2) in a patient sample. The herein disclosed method allows for molecular risk stratification and improved prediction of long-term patient prognosis in the treatment of prostate cancer. The invention further relates to a method, comprising the prediction of death of disease (DoD) and biochemical recurrence (BCR), as well as the prediction of a long-term prognosis and the disease outcome of prostate cancer patients. The method provided by the invention (ProstaTrend) is independent from clinical and histological parameters after diagnosis and facilitates the identification of high-risk patients among patients with low or intermediate histological-risk profiles prior and after surgery.

One of the surprising technical effects of the present invention is the gain of patient outcome prediction accuracy through the application of the ProstaTrend score method, which is shown herein by a concordance analysis (C-Index) for a clinical model based on grading groups, pathological stage and resection status with and without inclusion of the herein disclosed ProstaTrend score method for samples of the patient “TCGA PRAD” cohort (see also Example 3). With the inclusion of the ProstaTrend score method the concordance index increased by 4.9% [95%-CI: −0.3-8.6%] from 71.4% to 76.3%. In greater detail, the gain of prediction accuracy by using the herein disclosed ProstaTrend score, is shown by the comparison of the concordance index between two multivariable cox models, one featuring clinical parameters grading groups, pathological staging, and resection status only, while the second model also includes the herein disclosed ProstaTrend score method. 1000 bootstrap samples were generated using the R-Package boot v1.3-2418 while keeping the number of events constant to estimate the 95% confidence for the difference of the concordance index (C-index) between both models.

In one embodiment the present invention relates to a method for predicting the outcome or classifying the disease of a prostate carcinoma patient with the method comprising the steps of obtaining a biological sample, wherein the sample comprises a plurality of nucleic acids, a plurality of cells, a biopsy and/or human or animal tissue and obtaining a plurality of nucleic acids from the sample, followed by subsequent analysis of the plurality of nucleic acids, thereby determining the sequences of the nucleic acids from the sample and/or the abundancies of target nucleic acid sequences from the sample, followed by comparing the sequences of the nucleic acids and/or the abundancies of the target nucleic acid sequences derived from the sample to a set of known reference nucleic acid sequences and finally calculating a score (ProstaTrend score) value depending on the comparison of the target nucleic acid sequences and/or of the target nucleic acid sequence abundancies in relation to the set of known reference gene nucleic acid sequences, wherein a difference or similarity in at least one of the nucleic acid sequences and/or nucleic acid sequence abundancies between the known reference gene nucleic acid sequences and the target nucleic acid sequences from said sample is used for calculating a score value that is predictive of a prognosis and/or classification of the patient from whom the sample was derived.

In a further embodiment the present invention relates to a method for predicting the outcome or classifying the disease of a prostate carcinoma patient, the method comprising the steps of: a) obtaining a sample from said patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least one or more different target nucleic acid sequences, c) normalizing of the target nucleic acid sequence abundancies against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid using a corresponding reference value and e) calculating a score value, and wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.

In another embodiment the invention relates to a method for predicting the outcome or classifying the disease of a prostate carcinoma patient with the method comprising the steps of: a) obtaining a biological sample from said patient, wherein the sample comprises a plurality of nucleic acids, a plurality of cells, a biopsy and/or human or animal tissue and obtaining a plurality of nucleic acids from the sample, b) analyzing the plurality of nucleic acids, thereby determining the sequences of the nucleic acids from the sample and/or the abundancy of at least one or more different target nucleic acid sequences from the sample, c) comparing the sequences of the nucleic acids and/or the abundancy of at least one or more different target nucleic acid sequences derived from the sample to a reference abundancy, thereby calculating a score value, wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.

Herein, the patient from whom said sample was derived may be classified as having a high risk of death of disease and/or biochemical recurrence, if the calculated score value is above a threshold value of 0 (score value >0) and if the score value is below a threshold value of 0 (score value<0), the sample is classified as having a low risk of death of disease and/or biochemical recurrence.

In one embodiment of the invention, each target nucleic acid sequence derived from the analysis of the plurality of nucleic acids from said patient sample is identical to the nucleic acid sequence of a corresponding specific transcript and/or isoform of a reference gene selected from the group of genes associated with cancer progression or cancer malignancy. In another embodiment, said group of reference genes are associated with the progression or malignancy of prostate cancer. In a preferred embodiment, each target nucleic acid sequence derived from the analysis of the plurality of nucleic acids from said patient sample is identical to the nucleic acid sequence of a corresponding specific transcript and/or isoform of a reference gene selected from the group of genes listed in Table 2.

In other words, herein, said target nucleic acids or target nucleic acid sequences may be those nucleic acids or nucleic acid sequences derived from or present in said sample, that have an identical nucleic acid sequence to at least one or more reference genes, or at least one or more isoforms or transcripts thereof, selected from the group of genes listed in Table 2.

In one embodiment, said reference abundancy refers to the reference abundancy of the reference gene or reference gene nucleic acid sequence, wherein said abundancy of the target nucleic acids is weighted_by the logHR value of the corresponding reference gene listed in Table 2, wherein the nucleic acid sequence of said reference gene, or of a transcript or isoform thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences derived from or present in said sample.

In one embodiment of the present invention a reference dataset may be, without being limited to, a dataset comprising the gene expression values and/or logHR values and/or further characterizing values of all or a group of genes comprising all or a fraction of said reference genes listed in Table 2, the dataset disclosed in Table 2 or a fraction of said dataset, a dataset comprising the gene expression values of genes associated with cancer or prostate cancer or another dataset comprising gene expression values.

In one embodiment of the invention, said corresponding reference value for weighting abundancies is a logHR value selected from the group of logHR values listed in Table 2 corresponding to one or more reference genes listed in Table 2, wherein the nucleic acid sequence of said one or more reference gene, or of a transcript or isoform thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences from said sample.

In another embodiment, said logHR values refer to one or more logHR values from the group of logHR values listed in Table 2, wherein said one or more logHR values in Table 2 are used during the calculation of the ProstaTrend score as a weighting factor for the respective reference gene listed in Table 2 and/or the expression value or abundancy of said respective reference gene in said sample, wherein subsequently during the calculation these weighted reference genes or weighted reference gene abundancies or expression values are combined by the median, and wherein the nucleic acid sequence of said reference gene, or of a transcript or isoform thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences derived from or present in said sample.

Herein, said genes disclosed in Table 2, are also referred to as reference genes, marker genes or prognostic genes.

In one embodiment of the invention, each logHR value from said logHR values listed in Table 2 corresponds to one or more reference genes from the group of reference genes listed in Table 2, wherein the nucleic acid sequence of said reference gene, or of a transcripts or isoforms thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences from said sample, if said reference gene is expressed in said sample. In one embodiment of the invention said logHRs are weighting factors from the training of the prognosticator, that are fixed for every new sample, wherein the comparison to a reference comes due to add-on normalization (or combined normalization) with said established ProstaTrend reference gene set.

In another embodiment said target abundancy is weighted_by the logHR value of a corresponding reference gene listed in Table 2, wherein the nucleic acid sequence of said reference gene, or of a transcripts or isoforms thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences from said sample.

Herein, each gene from the group of reference genes listed in Table 2, or one or more isoforms or transcripts thereof, that have a nucleic acid sequence identical to one or more target nucleic acid sequences from said sample, may herein be referred to, without being limited to, as corresponding reference gene to said target nucleic acid sequence. In other words, if a reference gene, listed in Table 2, is expressed in said patient sample, a target nucleic acid corresponding to said reference gene may be detected during the nucleic acid analysis of said sample and it's abundancy, herein also referred to as gene expression, may be determined. Therefore, the expression value and/or abundancy of each gene, listed in Table 2 and/or each transcript or isoform thereof, in said patient sample, may be determined, without being limited to, by analyzing the nucleic acid sequences and their abundancies in said sample. Said gene expression values of the selected reference genes in said sample may subsequently be used to, without being limited to, calculate a ProstaTrend score for the patient said sample was derived from, according to the method described herein.

Herein, a biological sample may be derived from, without being limited to, a human patient, a cell culture, an “organ-on-a-chip” model, a microphysiological system or an animal. Herein, a biological sample may be an organ, a tissue, a biopsy, a liquid biopsy, a blood sample, a sample from a Patient Derived Xenograft, a sample from an “organ-on-a-chip” model, a sample from a microphysiological system, a cell line or cell culture of a patient-derived sample of a human patient, an animal or an animal model, of a cell line or of an organoid. In a more preferred embodiment of the invention the sample is an organ, a tissue, a biopsy, a liquid biopsy, a blood sample, a sample from an “organ-on-a-chip” model or a patient-derived cell culture of a human patient. In the most preferred embodiment, the sample is a tissue, a biopsy or a liquid biopsy sample of a human patient. In one embodiment the biopsy sample is a fresh sample, a frozen sample or a FFPE preserved sample.

Examples of methods for nucleic acid sequence analysis are known to those of ordinary skill in the art and may herein comprise, without being limited to, optional lysis of the tissue and/or the cells and optional subsequent purification of respective nucleic acids followed by optional fragmentation, enzymatic digestion or ligation of respective nucleic acids to anchors, solid phases or barcodes, reverse transcription, microarray analysis, Next Generation Sequencing analysis and any other Sequencing method such as, but not limited to, nanopore sequencing, third-generation sequencing, Sanger sequencing analysis, NanoString Hyb & Seq NGS analysis, nCounter-analysis, digital or droplet PCR analysis, quantitative Real-time PCR analysis and/or PCR amplification of the nucleic acids derived from respective sample and/or a sequential or parallel combination of two or more of the previously listed steps and techniques.

Herein, Next Generation Sequencing relates to, without being limited to, RNA sequencing, DNA sequencing, Whole Genome Sequencing, Whole Exome Sequencing, Single Cell Sequencing, Targeted Sequencing, NanoString Hyb & Seq NGS analysis, nCounter-analysis, sequencing methods allowing two-dimensional resolution of transcriptome or epigenome patterns in tissues such as, but not limited to, spatial sequencing or sequencing methods allowing the characterization of chromatin status such as, but not limited to, ChIP-Seq or ATAC-Seq.

In one embodiment of the invention the term patient can be equivalent, but is not limited, to a human patient, a Patient Derived Xenograft, an “organ-on-a-chip” model, a microphysiological system, an animal, an animal model, a cell line or a cell culture of a patient-derived sample of a human patient, of an animal or of an animal model, of an “organ-on-a-chip” model, of a microphysiological system, of a cell line or of an organoid. In a preferred embodiment the patient is a human patient, a Patient Derived Xenograft or an animal. In an even more preferred embodiment of the invention the patient is a human patient.

As used herein, ProstaTrend refers to a method that can be used in, without being limited to, the treatment of prostate cancer for molecular risk stratification and improved prediction of long-term prognosis for prostate cancer patients with the method comprising calculating and applying a prognostic multi-gene expression score, which is also referred to herein as ProstaTrend score, based on the expression values of a set of genes that are significantly associated with prostate cancer prognosis (Table 2), herein also referred to as reference genes. The ProstaTrend method disclosed herein can also be used in the prediction of death of disease (DoD) and biochemical recurrence (BCR), or a probability of one or both, or of a long-term prognosis and/or in the prediction of outcome for prostate cancer patients.

In one embodiment of the invention the score (ProstaTrend score) obtained by the method described herein can be used in the treatment of prostate cancer for, without being limited to, calculating a prognosis and/or a classification and/or stratification of prostate carcinoma patients from whom respective biological sample was derived. In another embodiment of the invention the score obtained by the method described herein can be used for the classification and/or grading of respective analyzed sample.

In another embodiment of the invention the score obtained by the method described herein can be used in the treatment of prostate cancer to, without being limited to, classify the aggressiveness of a prostate carcinoma during initial diagnosis, before, during or after treatment of respective cancer. In a further embodiment of the invention the score obtained by the method described herein can be used to calculate the stage of and/or to classify the aggressiveness of metastases of a prostate carcinoma during initial diagnosis, before, during or after cancer treatment. The present invention further relates to a method for classifying patients according to their gene expression profile into a numeric score. Herein, this score classifies patients associated with adverse prognosis and reduced DoD-free survival or BCR-free survival with a score value of >0. A score value of 0 further classifies patients with an extended DoD-free or biochemical recurrence-free survival (FIGS. 2 and 5 ; high probability of long DoD-free or long BCR-free survival (black curve); low probability of DoD-free and BCR-free survival (grey curve)). Therefore, the cutoff is a score value of 0 to distinguish between an increased or a reduced risk of an adverse prognosis and/or DoD and an increased or a reduced chance of extended BCR-free and/or DoD-free survival (see also FIG. 2 and FIG. 3 ; Table 1, Table 3, Table 4 and Table 5).

In one embodiment the score obtained by the herein described method can be used in the treatment of cancer, such as, but not limited to, prostate cancer, prostate carcinomas or metastases of prostate carcinomas, to support and improve the decision whether adjuvant therapy after surgery, such as RP, should be scheduled, as well as to support and improve the choice of therapy for patients after initial diagnosis, during active surveillance and after focal, organ-preserving therapies. Herein “therapy” includes, but is not limited to, surgery, radical prostatectomy (RP), “active surveillance” or “watchful waiting”, radiotherapy, focal therapies, and wherein “focal therapy” includes, but is not limited to, vascular targeted photodynamic therapy, such as, but without being limited to, TOOKAD, High Intensity Focused Ultrasound (HiFu) and irreversible Electroporation (IRE), such as, but without being limited to, NanoKnife and Focal Cryoablation.

In one embodiment of the present invention, when correlating the score, obtained by the method described herein, to the proportion of prostate carcinoma patients developing BCR, said score of a value of −0.2 relates to an estimated conditional probability of BCR of respective prostate carcinoma patient of about 5%, whereas said score of a value of 0 relates to an estimated conditional probability of BCR of about 11% and said score of a value of 0.2 relates to an estimated conditional probability of BCR of about 23% (Table 3; FIG. 3 ;).

In another embodiment the herein disclosed method and ProstaTrend score relate to a method for predicting the outcome or classifying and/or stratifying the disease of prostate carcinoma patients and is calculated by combining the expression values of all selected genes in a patient-wise prognostic score.

In one embodiment of the invention the method comprises the detection of nucleic acids that have a target nucleic acid sequence identical to one or more of said reference genes, or one or more transcripts or isoforms thereof, listed in Table 2, followed by the determination or measurement of the abundancy of each target nucleic acid sequence in said sample, wherein said abundancy is used to calculate the gene expression value of said corresponding reference gene from the group of reference genes listed in Table 2 in said sample.

In one embodiment of the invention, said score can be calculated by the herein disclosed method, wherein the abundancies in said sample of all known isoforms or transcripts of each of said reference genes listed in Table 2 are summarized for each reference gene during the calculation.

In another embodiment the invention relates to a method for predicting the outcome or classifying the disease of prostate carcinoma patients, the method comprising the steps of: a) obtaining a sample from said patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least two one or more different target nucleic acid sequences, c) normalizing said target nucleic acid sequences against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid using the respective log hazard ratios presented in Table 2, and e) calculating a score value by summarizing the abundancies of all known isoforms or transcripts of each of said genes listed in Table 2, wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.

In detail, in one embodiment of the invention the disclosed method of calculating a predictive score value (ProstaTrend score) for use in predicting the outcome or in classifying the disease of a prostate carcinoma patient comprises the calculation of expression values for at least one reference gene that were detected to be expressed in the sample, based on the abundancies of corresponding target nucleic acid sequences in said sample, wherein the abundancies of all target nucleic acid sequences, which are identical to the sequence of one or more isoforms and/or transcripts of a reference gene are summarized for each reference gene respectively, and wherein for each patient k the median over the weighted standardized gene expression values of all genes selected for said calculation g; is calculated applying:

ProstaTrend_(k)=Median(logHR_(i) *g _(i)),

wherein the weight for each significant gene i is the estimated univariate log hazard ratio (logHR) from the Cox regression meta-analysis to account for the direction of the prognostic effect of gene i as well as for the effect size, wherein a negative ProstaTrend-score (score value<0) characterizes patients with lower risk of an adverse prognosis and an increased chance of extended BCR-free and/or DoD-free survival, while a positive score (score value >0) characterizes patients with an increased risk of an adverse prognosis and a lower chance of extended BCR-free and/or DoD-free survival.

Briefly, in one embodiment of the invention the score (ProstaTrend score) is calculated herein by using the expression abundancies of each one or more target nucleic acid sequences from a sample that have an identical sequence to the sequence of one of the genes listed in Table 2 or one of the isoforms or transcripts of said genes, and wherein the score is calculated by summarizing the abundancies of all known isoforms or transcripts of each of said genes listed in Table 2.

In one embodiment of the invention said score value is calculated by summarizing the abundancies of all known isoforms or transcripts of each of said reference genes listed in Table 2.

In one embodiment of the invention, the ProstaTrend score for a patient is calculated as the median of the weighted, normalized and standardized gene expression values according to the before mentioned method using a set of at least 50 or more prognostic genes, herein also referred to as reference genes, which are disclosed herein in Table 2.

In one embodiment of the present invention said set of reference genes used to calculate the ProstaTrend score comprises at least 10, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500, 750, 1000, 1250 or 1396 of the genes disclosed in Table 2. In another embodiment said set of reference genes comprises a number within the range of 50-1396 of the genes disclosed in Table 2. In another embodiment of this invention said set of reference genes used to calculate the ProstaTrend score comprises a number within the range of 50-500 of the genes disclosed in Table 2. In a preferred embodiment of this invention said set of reference genes used to calculate the ProstaTrend score comprises a number within the range of 100-500 (FIG. 8 and FIG. 9 ) of the genes disclosed in Table 2. In an even more preferred embodiment of this invention said set of reference genes used to calculate the ProstaTrend score comprises a number within the range of 100-300 of the genes disclosed in Table 2. Although the use of at least 100 reference genes is preferred, FIGS. 8 and 9 clearly show that for a precise prognosis by the present method even less than 100 genes from Table 2 have to be used, as the prognosis by the ProstaTrend Score achieves a high degree of precision (AUC of 0.67-0.7) already when at least 50 genes from Table 2 are analyzed. With increasing size of the gene set the AUC improves and the variation decreases (FIGS. 8 and 9 ). The accuracy of the prognosis can be increased up to an AUC of ˜0.7, if n˜[100-300] genes from Table 2 are used, whereas from about over 400 genes, the increase of AUC decreases (FIGS. 8 and 9 ). Most importantly, FIG. 7 evidences that the precision of the present method clearly exceeds the precision of the prior art method.

In one embodiment of the invention the normalization of gene expression values is done cohort-wise, if a set of samples from the same patient cohort is provided, or, in case of a single sample, an add-on normalization with respect to the normalized gene expression values of the training cohort is conducted. Further, herein the expression value of each gene, herein also referred to as reference gene, is weighted by the log hazard ratio (logHR) from the Cox regression meta-analysis of the training cohort. Herein, the weights for each gene are provided in Table 2.

In one embodiment, the present invention relates to a method for use in the treatment of prostate cancer, the method comprising the steps of: a) obtaining a sample from a patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least one or more different target nucleic acid sequences, c) normalizing of target nucleic acid sequences or target nucleic acid sequence abundancies against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid using the respective log hazard ratios presented in Table 2 and e) calculating a score value, and wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.

In another embodiment the herein disclosed method relates to a method for use in the treatment of prostate cancer, the method comprising the steps of: a) obtaining a sample from a patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least one or more different target nucleic acid sequences, c) normalizing of the target nucleic acid sequence abundancies against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid using a corresponding reference value and e) calculating a score value, and wherein the outcome or classification of the disease of a prostate carcinoma patient from whom said sample was derived is predicted based on said score value, and wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.

In another embodiment of said method for use in the treatment of prostate cancer, the outcome or classification of the disease of a prostate carcinoma patient from whom said sample was derived is predicted based on said score value.

The embodiments discussed herein with reference to the method for predicting the outcome or classifying the disease of a prostate carcinoma patient apply also to the method for use in the treatment of prostate cancer.

EXAMPLES Example 1: Selection of Marker Genes for the Calculation of a Score for Prostate Cancer Patient Classification and Outcome Prediction

To identify genes associated with DoD four clinical cohorts (FIG. 1 ) were incorporated in the “ProstaTrend” dataset, relating to the present invention. Weighted univariate Cox regression analysis was applied on all 20,821 genes that passed the expression quality filter for all included cohorts separately and the estimated logHRs and the respective SEs were used in a fixed-effect-model meta-analysis. The results of the meta-analysis are exemplarily presented in FIG. 10A for the gene NUSAP1, one of the genes significantly associated with DoD in the cohort and included in other signatures for risk stratification in prostate cancer. The histogram of the p-values of the meta-analysis for all genes shows strong enrichment of p-values near zero (FIG. 10B). Fitting a mixture model to the p-value distribution using the R-package fdrtool (Strimmer at al., 2008; Bioinformatics) a fraction of 32.6% of all analyzed genes was estimated to be prognostic. For a conservative correction for multiple testing, 1,396 genes with a tail-based FDR <0.05 were selected as a marker set including 1,214 known protein-coding genes (FIG. 10C).

The herein disclosed list of reference genes (Table 2), which can be used to calculate the herein disclosed prognostic ProstaTrend score, is consistent with already established prognostic gene signatures. In total, 24 genes of the Decipher, Oncotype, and Prolaris signatures were included in the list of genes disclosed by the present invention, which can be used to calculate the herein disclosed prognostic ProstaTrend score. Removing these genes did not affect the accuracy of the calculated ProstaTrend score (FIG. 7 ). A direct comparison of the list of genes disclosed by the present invention (Table 2) with the Prolaris gene set, which was initially similarly developed to predict long-term prognosis after RP, showed a stronger effect for the list of genes disclosed by the present invention (Table 2), underling the benefit of evaluating all tumor-relevant pathways for molecular risk stratification, as disclosed by the present invention (FIGS. 7A and 7C).

Example 2: Validation of the Prognostic Relevance of the ProstaTrend Score

The ProstaTrend score, described by the current invention, admitted high discrimination accuracy in the “FF_array_RP” patient cohort (FIG. 1 ), validating the inference technique by leave-one-out cross-validation in a training patient cohort, and therefore the final ProstaTrend score to predict time to DoD for a patient inferred from the complete patient set (FIG. 5A and Table 4).

Patients with score values >0 had significantly reduced prostate cancer-specific survival as compared to patients with score values ≤0 (5-year survival: 83% vs. 98%; log-rank test: p=0.0002). The ProstataTrend score remained an independent predictor for the time to DoD in a multivariate Cox regression after adjusting for Gleason grading group (GG) 3 and positive resection status (FIG. 5B, p=0.001). Adjusting the model for pathological stage was not reasonable in the training cohort, because no DoD cases were observed for low risk pathological stage (pT2).

To confirm the prognostic relevance of the continuous ProstaTrend score, we assessed the concordance with the order of DoD events. A univariable analysis showed a C-index of 78.5% [95%-CI: 68.5-85.9%] for the cross validated ProstaTrend score.

Example 3: Validation of Effectiveness of the ProstaTrend Score Method for the Prediction of Outcome and Patient Prognosis

In order to supply a strong validation study, the effectiveness of the ProstaTrend score, disclosed by the present application, in an external patient cohort (TCGA PRAD) was demonstrated. The ProstaTrend score allowed for significant discrimination of different risk groups (FIG. 2 and Table 3). Patients with a score value >0 showed significantly reduced BCR-free survival compared to patients with a score value ≤0 (2-year BCR-free survival: 78% vs. 95%; log-rank test: p=7.2e⁻⁷). Similarly, the ProstaTrend score admitted persistent relevance in a multivariate Cox regression model with GG ≥3, pathological stage ≥T3, and positive resection status as additional factors (FIG. 2 , p=0.037). A concordance analysis of the ProstaTrend score showed 71% [95%-CI: 62.6-77.2%] concordance with the order of BCR events.

In univariate Cox regression analysis, the dichotomized ProstaTrend score (dichotomized, for example dividing the ProstaTrend score in two separate classes: value 1 in case of a ProstaTrend score value >0 and value 0 in case of a ProstaTrend score value ≤0) was the most significant predictor for BCR compared to log(PSA), GG ≥3, pathological stage ≥T3, lymph node status, age and resection status. A pairwise analysis with the ProstaTrend score and each clinical feature resulted in the statistical significance of the ProstaTrend score in all models. In each paired model, the ProstaTrend score was more significant than the clinical feature and the ProstaTrend score remained significant when adjusted for GG and stage, for example all clinical variables that remained significant in the pairwise analysis (see Table 1).

Similarly, in univariate Cox regression analysis the continuous ProstaTrend score was the most significant predictor for BCR compared to log(PSA), GG ≥3, pathological stage≥T3, age and resections status. A pairwise analysis with ProstaTrend and each clinical feature resulted in the statistical significance of ProstaTrend in all models. ProstaTrend remained significant when adjusted for GG and stage, i.e. all clinical variables that remained significant in the pairwise analysis (see Table 5).

To assess the prognostic potential of the gene expression signature in a low and intermediate risk group the ProstaTrend score was applied to patients with Gleason score (GS) ≤7 (FIG. 2A). The gene expression-based classification indicated poor prognosis (ProstaTrend score>0) for 20% (38/186) of these patients. BCR-free survival of these patients was significantly shorter compared to patients with a ProstaTrend score≤0 (FIG. 2A; log-rank test p=0.0004; 2-year BCR-free survival: 85% vs. 98%). In patients with GS >7, 2-year BCR-free survival was 75% for patients with score>0 and 85% for patients with score≤0 (FIG. 2A; log-rank test p=0.076). An increase of both, the mean ProstaTrend score and the overall frequency of BCR for higher GS groups could be observed (FIG. 2 ). Furthermore, an elevated ProstaTrend score was associated with a higher rate of BCR events within GS subgroups.

To investigate the gain of prediction accuracy through the application of the ProstaTrend score, we applied the concordance analysis for a clinical model based on GG, pathological stage and resection status with and without inclusion of the ProstaTrend score. With the inclusion of the ProstaTrend score the concordance index increased by 4.9% [95%-CI: −0.3-8.6%] from 71.4% to 76.3%.

Example 4: Unsupervised Clustering Analysis of Overexpressed Genes in Prostate Cancer Patients Reveals Functional Context of Genes Used Herein to Calculate ProstaTrend Score

To investigate the functional context of genes associated with prognosis in prostate cancer unsupervised clustering with self-organizing maps (SOM) was performed. OposSOM v.1.1619 was applied to the quality-filtered and between-array normalized genes of the FF_array_RP patient cohort. 23 correlated overexpression spots were identified (FIG. 6A). For six spots, a significant enrichment of genes included in the list of genes disclosed by the present application (Table 2), which are used to calculate the ProstaTrend score was observed. Spot B and A were associated with adverse prognosis (FIGS. 6B and E) and linked to proliferation (Spot B GO-enrichment: cell cycle p=8*10⁻⁴⁶) and immune response (Spot A GO-enrichment: immune system process p=1*10⁻⁹⁹). Spot I is linked to negative regulation of growth and androgen signaling (GO-enrichment: negative regulation of growth 2*10⁻¹⁰ and GSEA: hallmark_androgen_response p=1*10⁻¹⁴) and associated with advantageous prognosis. In contrast, a clear biological process linked to spots S, J and V could not be identified.

Example 5: Comparison of the Genes Disclosed Herein for the Calculation of the ProstaTrend Score with Known Prostate Cancer Related Gene Signatures

The list of genes disclosed by the present application (Table 2) that is used for the calculation of a ProstaTrend score comprises genes of all gene sets representing the biological processes of the “hallmarks of cancer” (Hanahan et al., 2011; Cell and Loeffler-Wirth et al, 2019; Genome Med.). In contrast, Decipher, Oncotype, and Prolaris had no overlap with at least three hallmark gene sets indicating that the spectrum of biological characteristics covered by these assays is limited compared to the ProstaTrend score. The “hallmarks of cancer” have been defined as a set of functional capabilities that a tumor acquires during tumor development (Hanahan et al., 2011; Cell). We compared previously defined gene sets referring to these “hallmarks” (Loeffler-Wirth et al, 2019; Genome Med.) to determine the overlap with the herein disclosed gene set (Table 2) used to calculate the ProstaTrend score and thus the potential of the ProstaTrend score to represent these biological processes. All “hallmarks” were represented within the herein disclosed gene set (Table 2), which is used herein to calculate the ProstaTrend score, for multiple of genes of said gene set: angiogenesis (n=17), controlling genomic instability (n=50), glucose energetics (n=3), inflammation (n=18), invasion and metastasis (n=71), proliferation (n=156), replicative immortality (n=57) and resisting death (n=45) suggesting that the herein disclosed ProstaTrend score covers the full spectrum of biological characteristics involved in tumorigenesis.

TABLE 1 logHR [95% CI] p-value Univariate ProstaTrend 1.73 [0.96-2.50] 1.1e−05 (score > 0) PSA 0.38 [−0.05-0.80] 0.084 (log scale) Gleason Grading 2.53 [1.11-3.95] 0.0005 (RP GG ≥ 3) Pathological stage 2.46 [1.03-3.88] 0.0007 (stage ≥ T3) pN 1.05 [0.27-1.83] 0.008 Age 0.04 [−0.01-0.08] 0.14 (continious) Resection status 0.53 [−0.08-1.14] 0.09 (R+) pairwise ProstaTrend 1.52 [0.75-2.30] 0.0001 PSA 0.30 [−0.12-0.73] 0.16 ProstaTrend 1.16 [0.36-1.96] 0.005 Gleason GG ≥ 3 1.96 [0.49-3.43] 0.009 ProstaTrend 1.35 [0.57-2.13] 0.0007 Pathological stage 2.03 [0.59-3.47] 0.006 ProstaTrend 1.41 [0.61-2.21] 0.0006 pN 0.53 [−0.27-1.34] 0.19 ProstaTrend 1.69 [0.91-2.47] 2.0e−05 Age 0.02 [−0.03-0.06] 0.51 ProstaTrend 1.68 [0.908-2.46] 2.6e−05 Resection status 0.23 [−0.39-0.85] 0.47 complex model ProstaTrend 0.96 [0.16-1.77] 0.019 Gleason score 1.52 [0.02-3.02] 0.047 Pathological stage 1.70 [0.25-3.15] 0.022

TABLE 2 Ensembl_ID Gene_ID Transcript_ID Gene_Symbol tail_based_Fdr weighted_log HR Biotype Biotype_Cluster Position Strand ENSG00000101057.15_2 NA NA MYBL2 3.99E−05 1.12112061 protein_coding protein coding NA NA ENSG00000142731.10_2 NA NA PLK4 3.99E−05 1.11016944 protein_coding protein coding NA NA ENSG00000168476.11_3 NA NA REEP4 3.99E−05 0.98136061 protein_coding protein coding NA NA ENSG00000184445.11_3 NA NA KNTC1 3.99E−05 1.04829639 protein_coding protein coding NA NA ENSG00000187741.14_3 NA NA FANCA 3.99E−05 1.02193747 protein_coding protein coding NA NA ENSG00000106290.14_3 NA NA TAF6 3.99E−05 0.93097892 protein_coding protein coding NA NA ENSG00000080839.11_3 NA NA RBL1 5.00E−05 1.02535537 protein_coding protein coding NA NA ENSG00000185507.19_2 NA NA IRF7 7.67E−05 0.83973088 protein_coding protein coding NA NA ENSG00000249471.7_2 NA NA ZNF324B 0.00010272 0.85070836 protein_coding protein coding NA NA ENSG00000169221.13_2 NA NA TBC1D10B 0.00010485 1.01975238 protein_coding protein coding NA NA ENSG00000226419.7_3 NA NA SLC16A1-AS1 0.0001067 0.89249536 antisense_RNA IncRNA NA NA ENSG00000172780.16_3 NA NA RAB43 0.00014032 0.92235211 protein_coding protein coding NA NA ENSG00000117472.9_2 NA NA TSPAN1 0.00016107 −0.89722275 protein_coding protein coding NA NA ENSG00000137648.17_3 NA NA TMPRSS4 0.00016905 0.6666111 protein_coding protein coding NA NA ENSG00000175643.8_2 NA NA RMI2 0.00017709 0.9186168 protein_coding protein coding NA NA ENSG00000167767.13_2 NA NA KRT80 0.00017883 0.67195441 protein_coding protein coding NA NA ENSG00000173137.11_2 NA NA ADCK5 0.00018625 0.81258643 protein_coding protein coding NA NA ENSG00000274641.1_2 NA NA HIST1H2BO 0.00021106 0.8363546 protein_coding protein coding NA NA ENSG00000099953.9_3 NA NA MMP11 0.00021511 0.80488689 protein_coding protein coding NA NA ENSG00000157778.8_2 NA NA PSMG3 0.00022257 0.87597451 protein_coding protein coding NA NA ENSG00000072864.14_3 NA NA NDE1 0.00023965 0.71093973 protein_coding protein coding NA NA ENSG00000168298.6_2 NA NA HIST1H1E 0.00024986 1.04632655 protein_coding protein coding NA NA ENSG00000140534.13_3 NA NA TICRR 0.00026482 0.83169107 protein_coding protein coding NA NA ENSG00000073111.13_3 NA NA MCM2 0.00026928 0.9025888 protein_coding protein coding NA NA ENSG00000112118.18_2 NA NA MCM3 0.00028066 0.90436567 protein_coding protein coding NA NA ENSG00000211673.2_2 NA NA IGLV3-1 0.00031418 0.60812262 IG_V_gene Ig/TcR NA NA ENSG00000275713.2_2 NA NA HIST1H2BH 0.00033763 0.76923866 protein_coding protein coding NA NA ENSG00000064655.18_4 NA NA EYA2 0.0003427 0.84225416 protein_coding protein coding NA NA ENSG00000129810.14_4 NA NA SGO1 0.00036892 0.81496776 protein_coding protein coding NA NA ENSG00000109674.3_2 NA NA NEIL3 0.00037469 0.94230842 protein_coding protein coding NA NA ENSG00000136295.14_2 NA NA TTYH3 0.0003942 0.76534283 protein_coding protein coding NA NA ENSG00000280734.2_2 NA NA LINC01232 0.00039989 0.78707865 processed_transcript IncRNA NA NA ENSG00000172818.9_2 NA NA OVOL1 0.00040539 0.7750343 protein_coding protein coding NA NA ENSG00000273703.1_2 NA NA HIST1H2BM 0.00041562 0.83829991 protein_coding protein coding NA NA ENSG00000105705.15_4 NA NA SUGP1 0.00042631 0.83669835 protein_coding protein coding NA NA ENSG00000137807.13_2 NA NA KIF23 0.00043155 0.96513916 protein_coding protein coding NA NA ENSG00000175550.7_2 NA NA DRAP1 0.00043536 0.74006943 protein_coding protein coding NA NA ENSG00000013588.7_3 NA NA GPRC5A 0.00044284 0.6971623 protein_coding protein coding NA NA ENSG00000014138.8_3 NA NA POLA2 0.0004551 0.94327885 protein_coding protein coding NA NA ENSG00000167977.8_3 NA NA KCTD5 0.00045975 0.81674266 protein_coding protein coding NA NA ENSG00000186340.14_3 NA NA THBS2 0.00046043 0.90951411 protein_coding protein coding NA NA ENSG00000187990.4 NA NA HIST1H2BG 0.00048896 0.78909527 protein_coding protein coding NA NA ENSG00000106012.17_3 NA NA IQCE 0.00048944 0.84262332 protein_coding protein coding NA NA ENSG00000197993.7_3 NA NA KEL 0.00050943 0.54971757 protein_coding protein coding NA NA ENSG00000120075.5_3 NA NA HOXB5 0.00051519 0.53437145 protein_coding protein coding NA NA ENSG00000260027.4_3 NA NA HOXB7 0.00051698 0.49386273 protein_coding protein coding NA NA ENSG00000124635.8_2 NA NA HIST1H2BJ 0.00052555 0.7775271 protein_coding protein coding NA NA ENSG00000161904.11_3 NA NA LEMD2 0.00056188 0.80903005 protein_coding protein coding NA NA ENSG00000108511.9_3 NA NA HOXB6 0.00058618 0.39612369 protein_coding protein coding NA NA ENSG00000144648.15_3 NA NA ACKR2 0.00060561 0.63111263 protein_coding protein coding NA NA ENSG00000102384.13_2 NA NA CENPI 0.00061292 0.76898174 protein_coding protein coding NA NA ENSG00000198026.7_2 NA NA ZNF335 0.00062574 0.79016098 protein_coding protein coding NA NA ENSG00000167535.7_2 NA NA CACNB3 0.00062609 0.86669818 protein_coding protein coding NA NA ENSG00000185130.5_2 NA NA HIST1H2BL 0.00063319 0.7914076 protein_coding protein coding NA NA ENSG00000120875.8_2 NA NA DUSP4 0.00065677 0.56172222 protein_coding protein coding NA NA ENSG00000124201.14_2 NA NA ZNFX1 0.0007558 0.78878357 protein_coding protein coding NA NA ENSG00000184270.4_2 NA NA HIST2H2AB 0.00080913 0.94823142 protein_coding protein coding NA NA ENSG00000149923.13_2 NA NA PPP4C 0.00081998 0.93073969 protein_coding protein coding NA NA ENSG00000198554.11_3 NA NA WDHD1 0.0008281 0.78217644 protein_coding protein coding NA NA ENSG00000165949.12_3 NA NA IFI27 0.00084062 0.49536814 protein_coding protein coding NA NA ENSG00000162949.16_3 NA NA CAPN13 0.00088396 0.51781688 protein_coding protein coding NA NA ENSG00000275379.1_2 NA NA HIST1H3I 0.00092393 0.94715831 protein_coding protein coding NA NA ENSG00000196177.12_2 NA NA ACADSB 0.00093435 −1.08245838 protein_coding protein coding NA NA ENSG00000270550.1_2 NA NA IGHV3-30 0.00097275 0.59395239 IG_V_gene Ig/TcR NA NA ENSG00000167670.15_2 NA NA CHAF1A 0.0009759 0.76222794 protein_coding protein coding NA NA ENSG00000144645.13_3 NA NA OSBPL10 0.00099492 0.86009928 protein_coding protein coding NA NA ENSG00000128563.13_3 NA NA PRKRIP1 0.00099937 0.8390338 protein_coding protein coding NA NA ENSG00000168539.3_3 NA NA CHRM1 0.00101083 −0.96731702 protein_coding protein coding NA NA ENSG00000182809.10_2 NA NA CRIP2 0.00103717 0.67176066 protein_coding protein coding NA NA ENSG00000122966.15_4 NA NA CIT 0.00106683 0.83919404 protein_coding protein coding NA NA ENSG00000147883.10_2 NA NA CDKN2B 0.00106693 0.81021358 protein_coding protein coding NA NA ENSG00000196652.11_2 NA NA ZKSCAN5 0.00107916 0.44009581 protein_coding protein coding NA NA ENSG00000111331.12_2 NA NA OAS3 0.00109651 0.53603873 protein_coding protein coding NA NA ENSG00000137200.12_2 NA NA CMTR1 0.00113692 0.76120358 protein_coding protein coding NA NA ENSG00000066279.17_3 NA NA ASPM 0.00116377 0.73287134 protein_coding protein coding NA NA ENSG00000163932.13_3 NA NA PRKCD 0.00125449 0.77025578 protein_coding protein coding NA NA ENSG00000174371.16_3 NA NA EXO1 0.00132529 0.73358191 protein_coding protein coding NA NA ENSG00000275221.1_2 NA NA HIST1H2AK 0.00133225 0.7162784 protein_coding protein coding NA NA ENSG00000276410.3_3 NA NA HIST1H2BB 0.00135372 0.68007407 protein_coding protein coding NA NA ENSG00000161533.11_3 NA NA ACOX1 0.00136576 −0.88404191 protein_coding protein coding NA NA ENSG00000166689.15_4 NA NA PLEKHA7 0.00141519 0.73680527 protein_coding protein coding NA NA ENSG00000172732.11_2 NA NA MUS81 0.00144316 0.68308384 protein_coding protein coding NA NA ENSG00000119242.8_3 NA NA CCDC92 0.00148072 0.88543429 protein_coding protein coding NA NA ENSG00000119969.14_3 NA NA HELLS 0.00151227 0.8199534 protein_coding protein coding NA NA ENSG00000118193.11_2 NA NA KIF14 0.00152505 0.81338812 protein_coding protein coding NA NA ENSG00000149636.15_4 NA NA DSN1 0.00154147 0.69800473 protein_coding protein coding NA NA ENSG00000093009.9_2 NA NA CDC45 0.00155368 0.82008206 protein_coding protein coding NA NA ENSG00000142515.14_3 NA NA KLK3 0.00155903 −0.73448852 protein_coding protein coding NA NA ENSG00000007541.16_1 NA NA PIGQ 0.00157708 0.71669391 protein_coding protein coding NA NA ENSG00000115884.10_2 NA NA SDC1 0.00161103 0.73126032 protein_coding protein coding NA NA ENSG00000273321.1_3 NA NA AC023983.2 0.00161824 0.56092315 lincRNA IncRNA NA NA ENSG00000144560.14_3 NA NA VGLL4 0.00164177 0.91029338 protein_coding protein coding NA NA ENSG00000105717.13_3 NA NA PBX4 0.00166971 0.80561333 protein_coding protein coding NA NA ENSG00000163082.9_2 NA NA SGPP2 0.00173449 0.71515321 protein_coding protein coding NA NA ENSG00000274290.2_2 NA NA HIST1H2BE 0.00174242 0.92712974 protein_coding protein coding NA NA ENSG00000142330.19_3 NA NA CAPN10 0.00174962 0.86647769 protein_coding protein coding NA NA ENSG00000168026.18_3 NA NA TTC21A 0.00175981 0.82613898 protein_coding protein coding NA NA ENSG00000117115.12_2 NA NA PADI2 0.00182629 0.65351242 protein_coding protein coding NA NA ENSG00000271086.5_2 NA NA NAMA 0.00186368 0.46993585 lincRNA IncRNA NA NA ENSG00000257923.9_3 NA NA CUX1 0.00186738 0.80480283 protein_coding protein coding NA NA ENSG00000246790.2_3 NA NA AP000977.1 0.0018887 0.52544477 antisense_RNA IncRNA NA NA ENSG00000101412.12_2 NA NA E2F1 0.00203055 0.75803236 protein_coding protein coding NA NA ENSG00000105486.13_3 NA NA LIG1 0.0020378 0.83635109 protein_coding protein coding NA NA ENSG00000172478.17_4 NA NA C2orf54 0.00203982 0.80670219 protein_coding protein coding NA NA ENSG00000226696.5_3 NA NA LENG8-AS1 0.00214869 0.74082995 antisense_RNA IncRNA NA NA ENSG00000234432.4_3 NA NA AC092171.3 0.00215451 0.73903378 lincRNA IncRNA NA NA ENSG00000111206.12_3 NA NA FOXM1 0.00217054 0.82811806 protein_coding protein coding NA NA ENSG00000164828.17_4 NA NA SUN1 0.00223712 0.86991379 protein_coding protein coding NA NA ENSG00000106268.15_3 NA NA NUDT1 0.00225399 0.74037568 protein_coding protein coding NA NA ENSG00000184357.4_2 NA NA HIST1H1B 0.00225807 0.93062934 protein_coding protein coding NA NA ENSG00000177409.11_3 NA NA SAMD9L 0.00225944 0.46889715 protein_coding protein coding NA NA ENSG00000233237.6_3 NA NA LINC00472 0.0022842 −0.85568874 lincRNA IncRNA NA NA ENSG00000169891.17_2 NA NA REPS2 0.00228636 −0.80989935 protein_coding protein coding NA NA ENSG00000075218.18_2 NA NA GTSE1 0.0023269 0.75220022 protein_coding protein coding NA NA ENSG00000144481.16_3 NA NA TRPM8 0.00236153 −0.76509338 protein_coding protein coding NA NA ENSG00000112062.10_3 NA NA MAPK14 0.00238039 0.99129061 protein_coding protein coding NA NA ENSG00000013810.18_3 NA NA TACC3 0.00238876 0.77248911 protein_coding protein coding NA NA ENSG00000161800.12_2 NA NA RACGAP1 0.00243528 0.76063456 protein_coding protein coding NA NA ENSG00000103199.13_3 NA NA ZNF500 0.00252264 0.6780742 protein_coding protein coding NA NA ENSG00000114805.16_3 NA NA PLCH1 0.00257001 0.93002346 protein_coding protein coding NA NA ENSG00000218350.1_2 NA NA LYPLA1P3 0.00257392 −0.89667001 processed_pseudogene pseudogene NA NA ENSG00000157259.6_3 NA NA GATAD1 0.00258351 0.58393491 protein_coding protein coding NA NA ENSG00000141985.9_3 NA NA SH3GL1 0.00258722 0.96655941 protein_coding protein coding NA NA ENSG00000124181.14_3 NA NA PLCG1 0.0026669 0.99340282 protein_coding protein coding NA NA ENSG00000167674.14_4 NA NA HDGFL2 0.00267598 1.00296584 protein_coding protein coding NA NA ENSG00000197846.3 NA NA HIST1H2BF 0.002676 0.63077538 protein_coding protein coding NA NA ENSG00000040933.15_2 NA NA INPP4A 0.00268405 0.84551491 protein_coding protein coding NA NA ENSG00000260063.1_3 NA NA AL512408.1 0.00271602 0.65919998 antisense_RNA IncRNA NA NA ENSG00000196208.13_2 NA NA GREB1 0.00273972 −0.88487342 protein_coding protein coding NA NA ENSG00000104866.10_3 NA NA PPP1R37 0.00274498 0.78231645 protein_coding protein coding NA NA ENSG00000196787.3_2 NA NA HIST1H2AG 0.0027487 0.74448212 protein_coding protein coding NA NA ENSG00000205913.6_3 NA NA SRRM2-AS1 0.0027664 0.67390072 antisense_RNA IncRNA NA NA ENSG00000105063.18_3 NA NA PPP6R1 0.00278666 0.7627532 protein_coding protein coding NA NA ENSG00000118900.14_3 NA NA UBN1 0.0027897 0.83920001 protein_coding protein coding NA NA ENSG00000165304.7_3 NA NA MELK 0.00279158 0.64869867 protein_coding protein coding NA NA ENSG00000188157.14_3 NA NA AGRN 0.00280832 0.77877008 protein_coding protein coding NA NA ENSG00000142552.7_2 NA NA RCN3 0.00280909 0.80439587 protein_coding protein coding NA NA ENSG00000159259.7_3 NA NA CHAF1B 0.00282941 0.77035335 protein_coding protein coding NA NA ENSG00000140521.12_3 NA NA POLG 0.00283372 0.86334322 protein_coding protein coding NA NA ENSG00000197635.9_3 NA NA DPP4 0.0028393 −0.79216333 protein_coding protein coding NA NA ENSG00000143630.9_2 NA NA HCN3 0.00284387 0.69944661 protein_coding protein coding NA NA ENSG00000211658.2_2 NA NA IGLV3-27 0.0028872 0.55975869 IG_V_gene Ig/TcR NA NA ENSG00000158715.5_2 NA NA SLC45A3 0.00290734 −0.75306206 protein_coding protein coding NA NA ENSG00000111424.10_2 NA NA VDR 0.00295641 0.55986983 protein_coding protein coding NA NA ENSG00000247373.3_4 NA NA AC055713.1 0.00295849 0.52153374 lincRNA IncRNA NA NA ENSG00000073050.11_3 NA NA XRCC1 0.00304888 0.85025846 protein_coding protein coding NA NA ENSG00000123983.13_2 NA NA ACSL3 0.00306362 −0.90590893 protein_coding protein coding NA NA ENSG00000166508.17_3 NA NA MCM7 0.00308765 0.56722409 protein_coding protein coding NA NA ENSG00000211936.2 NA NA IGHV4-4 0.00316336 0.58619269 IG_V_gene Ig/TcR NA NA ENSG00000178814.16_3 NA NA OPLAH 0.00316683 0.63035297 protein_coding protein coding NA NA ENSG00000047936.10_3 NA NA ROS1 0.00322585 0.71348267 protein_coding protein coding NA NA ENSG00000076003.4_2 NA NA MCM6 0.00327736 0.77742183 protein_coding protein coding NA NA ENSG00000178685.13_3 NA NA PARP10 0.00327765 0.76925757 protein_coding protein coding NA NA ENSG00000148541.12_4 NA NA FAM13C 0.00328755 −0.81042242 protein_coding protein coding NA NA ENSG00000164181.13_3 NA NA ELOVL7 0.00328767 −1.05023111 protein_coding protein coding NA NA ENSG00000158062.20_4 NA NA UBXN11 0.00331054 0.80882628 protein_coding protein coding NA NA ENSG00000085276.17_4 NA NA MECOM 0.00331135 0.72517565 protein_coding protein coding NA NA ENSG00000184924.5_2 NA NA PTRHD1 0.00332736 −0.72477559 protein_coding protein coding NA NA ENSG00000178623.11_3 NA NA GPR35 0.00338803 0.73267236 protein_coding protein coding NA NA ENSG00000005075.15_2 NA NA POLR2J 0.00339209 0.71548941 protein_coding protein coding NA NA ENSG00000088325.15_2 NA NA TPX2 0.00339332 0.7229801 protein_coding protein coding NA NA ENSG00000278828.1_2 NA NA HIST1H3H 0.00339698 0.67913863 protein_coding protein coding NA NA ENSG00000135540.11_4 NA NA NHSL1 0.0034317 0.64383779 protein_coding protein coding NA NA ENSG00000105298.13_3 NA NA CACTIN 0.0034533 0.7559548 protein_coding protein coding NA NA ENSG00000101945.16_2 NA NA SUV39H1 0.00347753 0.74975996 protein_coding protein coding NA NA ENSG00000167751.12_2 NA NA KLK2 0.00350158 −0.56570249 protein_coding protein coding NA NA ENSG00000169957.9_3 NA NA ZNF768 0.00351819 0.8347382 protein_coding protein coding NA NA ENSG00000010292.12_3 NA NA NCAPD2 0.0035408 0.90441206 protein_coding protein coding NA NA ENSG00000049192.14_3 NA NA ADAMTS6 0.00354585 0.99764198 protein_coding protein coding NA NA ENSG00000271447.5_3 NA NA MMP28 0.003547 −0.81558867 protein_coding protein coding NA NA ENSG00000165475.13_2 NA NA CRYL1 0.00355085 −0.77218189 protein_coding protein coding NA NA ENSG00000185880.12_3 NA NA TRIM69 0.00359666 0.66025404 protein_coding protein coding NA NA ENSG00000135637.13_3 NA NA CCDC142 0.00363855 0.69554959 protein_coding protein coding NA NA ENSG00000076382.16_3 NA NA SPAG5 0.00364559 0.75671388 protein_coding protein coding NA NA ENSG00000117139.16_3 NA NA KDM5B 0.00368381 0.76432926 protein_coding protein coding NA NA ENSG00000132017.10_3 NA NA DCAF15 0.00369278 0.85182192 protein_coding protein coding NA NA ENSG00000235859.5_3 NA NA AC006978.1 0.0036999 0.67870661 processed_pseudogene pseudogene NA NA ENSG00000130402.11_3 NA NA ACTN4 0.00371214 0.70146979 protein_coding protein coding NA NA ENSG00000166535.19_2 NA NA A2ML1 0.00375182 0.43580681 protein_coding protein coding NA NA ENSG00000101199.12_3 NA NA ARFGAP1 0.00384535 0.73894061 protein_coding protein coding NA NA ENSG00000183323.12_3 NA NA CCDC125 0.00388612 −0.60323092 protein_coding protein coding NA NA ENSG00000100297.15_3 NA NA MCM5 0.00392481 0.74707102 protein_coding protein coding NA NA ENSG00000114737.15_2 NA NA CISH 0.0040372 0.78948805 protein_coding protein coding NA NA ENSG00000172731.13_2 NA NA LRRC20 0.0040402 0.70389285 protein_coding protein coding NA NA ENSG00000276903.1_2 NA NA HIST1H2AL 0.00404428 0.71422909 protein_coding protein coding NA NA ENSG00000101216.10_2 NA NA GMEB2 0.00405146 0.81408409 protein_coding protein coding NA NA ENSG00000085999.11_3 NA NA RAD54L 0.00405409 0.78604182 protein_coding protein coding NA NA ENSG00000277075.2_2 NA NA HIST1H2AE 0.00406417 0.680059 protein_coding protein coding NA NA ENSG00000014257.15_2 NA NA ACPP 0.00410777 −0.89027658 protein_coding protein coding NA NA ENSG00000148331.11_2 NA NA ASB6 0.00421237 0.70011635 protein_coding protein coding NA NA ENSG00000184897.5_2 NA NA H1FX 0.00423155 0.8524089 protein_coding protein coding NA NA ENSG00000169738.7_3 NA NA DCXR 0.00428115 −0.88510233 protein_coding protein coding NA NA ENSG00000140525.17_4 NA NA FANCI 0.00428652 0.73710838 protein_coding protein coding NA NA ENSG00000147536.11_2 NA NA GINS4 0.00433453 0.65667641 protein_coding protein coding NA NA ENSG00000106624.10_3 NA NA AEBP1 0.00443102 0.68865096 protein_coding protein coding NA NA ENSG00000163507.13_2 NA NA KIAA1524 0.00444602 0.71069806 protein_coding protein coding NA NA ENSG00000257790.1_2 NA NA EIF4A1P4 0.00444862 −0.71518443 processed_pseudogene pseudogene NA NA ENSG00000101146.12_3 NA NA RAE1 0.00445027 0.69720189 protein_coding protein coding NA NA ENSG00000101160.13_2 NA NA CTSZ 0.00445247 0.7308364 protein_coding protein coding NA NA ENSG00000163689.19_4 NA NA C3orf67 0.00453579 0.73258058 protein_coding protein coding NA NA ENSG00000141526.16_3 NA NA SLC16A3 0.00455179 0.66516167 protein_coding protein coding NA NA ENSG00000174013.7_2 NA NA FBXO45 0.00456355 0.70551579 protein_coding protein coding NA NA ENSG00000106346.11_2 NA NA USP42 0.00462923 0.72798401 protein_coding protein coding NA NA ENSG00000139714.12_2 NA NA MORN3 0.00465701 0.48552337 protein_coding protein coding NA NA ENSG00000109265.13_4 NA NA KIAA1211 0.00468442 0.72467981 protein_coding protein coding NA NA ENSG00000091527.15_2 NA NA CDV3 0.00470761 0.71573728 protein_coding protein coding NA NA ENSG00000173653.7_3 NA NA RCE1 0.00471878 0.76994999 protein_coding protein coding NA NA ENSG00000214244.4_2 NA NA SETP21 0.00473604 −0.8735651 processed_pseudogene pseudogene NA NA ENSG00000102858.12_3 NA NA MGRN1 0.00476473 0.76153499 protein_coding protein coding NA NA ENSG00000268516.2_3 NA NA AC020915.4 0.00477603 0.70241283 antisense_RNA IncRNA NA NA ENSG00000104435.13_2 NA NA STMN2 0.00478809 0.63622159 protein_coding protein coding NA NA ENSG00000087301.8_3 NA NA TXNDC16 0.00483845 −0.89819401 protein_coding protein coding NA NA ENSG00000135114.12_2 NA NA OASL 0.00485224 0.39203459 protein_coding protein coding NA NA ENSG00000112936.18_2 NA NA C7 0.00489963 −0.7766094 protein_coding protein coding NA NA ENSG00000196876.9 NA NA SCN8A 0.00490275 0.67708279 protein_coding protein coding NA NA ENSG00000130816.14_3 NA NA DNMT1 0.00492676 0.89277443 protein_coding protein coding NA NA ENSG00000145386.9_2 NA NA CCNA2 0.00498895 0.70839403 protein_coding protein coding NA NA ENSG00000171451.13_3 NA NA DSEL 0.00499001 −0.81233196 protein_coding protein coding NA NA ENSG00000254470.2_2 NA NA AP5B1 0.00501053 0.69111081 protein_coding protein coding NA NA ENSG00000148481.13_2 NA NA MINDY3 0.00501475 −0.69027678 protein_coding protein coding NA NA ENSG00000189139.5_2 NA NA FSCB 0.00506922 0.37613202 protein_coding protein coding NA NA ENSG00000146540.14_3 NA NA C7orf50 0.00507892 0.75107047 protein_coding protein coding NA NA ENSG00000006704.10_3 NA NA GTF2IRD1 0.00508258 0.72521992 protein_coding protein coding NA NA ENSG00000133619.17_2 NA NA KRBA1 0.0050919 0.86087003 protein_coding protein coding NA NA ENSG00000168675.18_3 NA NA LDLRAD4 0.00511991 0.74931856 protein_coding protein coding NA NA ENSG00000143614.9_3 NA NA GATAD2B 0.00514371 0.74954074 protein_coding protein coding NA NA ENSG00000076513.16_3 NA NA ANKRD13A 0.00514761 0.75128151 protein_coding protein coding NA NA ENSG00000170265.11_2 NA NA ZNF282 0.00515188 0.72740791 protein_coding protein coding NA NA ENSG00000072694.20_3 NA NA FCGR2B 0.00517631 0.67018784 protein_coding protein coding NA NA ENSG00000126870.15_3 NA NA WDR60 0.0051776 0.73551612 protein_coding protein coding NA NA ENSG00000104341.16_3 NA NA LAPTM4B 0.00519344 0.84630458 protein_coding protein coding NA NA ENSG00000087116.14_3 NA NA ADAMTS2 0.00526981 0.83690607 protein_coding protein coding NA NA ENSG00000280424.1_3 NA NA BX537318.2 0.00528505 0.65921023 TEC IncRNA NA NA ENSG00000164631.18_2 NA NA ZNF12 0.00529428 0.60182718 protein_coding protein coding NA NA ENSG00000048052.21_3 NA NA HDAC9 0.00529471 0.64540562 protein_coding protein coding NA NA ENSG00000238058.1_3 NA NA AL355574.1 0.00531146 0.5482525 antisense_RNA IncRNA NA NA ENSG00000163156.11_3 NA NA SCNM1 0.00535505 0.65347484 protein_coding protein coding NA NA ENSG00000003400.14_4 NA NA CASP10 0.00537187 0.64014164 protein_coding protein coding NA NA ENSG00000180596.7_2 NA NA HIST1H2BC 0.00541121 0.64129282 protein_coding protein coding NA NA ENSG00000142945.12_2 NA NA KIF2C 0.00542797 0.6988548 protein_coding protein coding NA NA ENSG00000143153.12_2 NA NA ATP1B1 0.00543261 0.65917142 protein_coding protein coding NA NA ENSG00000239407.5_4 NA NA Z68871.1 0.00543821 0.45682082 lincRNA IncRNA NA NA ENSG00000167332.8_4 NA NA OR51E2 0.00546096 −0.7184431 protein_coding protein coding NA NA ENSG00000085644.13_2 NA NA ZNF213 0.00546453 0.59178905 protein_coding protein coding NA NA ENSG00000260747.1_3 NA NA AC022968.1 0.00555887 −0.59108129 processed_pseudogene pseudogene NA NA ENSG00000130309.10_4 NA NA COLGALT1 0.00559387 0.74514842 protein_coding protein coding NA NA ENSG00000226650.5_3 NA NA KIF4B 0.00560633 0.59691667 protein_coding protein coding NA NA ENSG00000162775.14_2 NA NA RBM15 0.00560703 0.81826466 protein_coding protein coding NA NA ENSG00000096063.15_3 NA NA SRPK1 0.00570192 0.76400612 protein_coding protein coding NA NA ENSG00000180667.10_2 NA NA YOD1 0.00572804 0.72003062 protein_coding protein coding NA NA ENSG00000276368.1_2 NA NA HIST1H2AJ 0.00576016 0.61170053 protein_coding protein coding NA NA ENSG00000103549.21_3 NA NA RNF40 0.00578789 0.79978602 protein_coding protein coding NA NA ENSG00000183831.6_2 NA NA ANKRD45 0.00580703 0.52223889 protein_coding protein coding NA NA ENSG00000143569.18_3 NA NA UBAP2L 0.0058566 0.70166801 protein_coding protein coding NA NA ENSG00000114650.18_2 NA NA SCAP 0.00590903 0.54982067 protein_coding protein coding NA NA ENSG00000007968.6_2 NA NA E2F2 0.00594556 0.67515025 protein_coding protein coding NA NA ENSG00000105612.8_2 NA NA DNASE2 0.00597706 0.77311509 protein_coding protein coding NA NA ENSG00000164197.11_3 NA NA RNF180 0.00598155 −0.6949414 protein_coding protein coding NA NA ENSG00000174243.9_3 NA NA DDX23 0.00603068 0.72913875 protein_coding protein coding NA NA ENSG00000213918.10_3 NA NA DNASE1 0.00603161 0.60671995 protein_coding protein coding NA NA ENSG00000170775.2_2 NA NA GPR37 0.00606961 0.72646143 protein_coding protein coding NA NA ENSG00000182492.15_2 NA NA BGN 0.00607225 0.8004589 protein_coding protein coding NA NA ENSG00000170260.8_3 NA NA ZNF212 0.00607409 0.75708098 protein_coding protein coding NA NA ENSG00000226174.6_4 NA NA TEX22 0.00611113 0.68543966 protein_coding protein coding NA NA ENSG00000072042.12_3 NA NA RDH11 0.00611223 −0.66202193 protein_coding protein coding NA NA ENSG00000156304.14_3 NA NA SCAF4 0.00611529 0.76224715 protein_coding protein coding NA NA ENSG00000137804.12_3 NA NA NUSAP1 0.00616148 0.72624819 protein_coding protein coding NA NA ENSG00000196453.7_2 NA NA ZNF777 0.00616386 0.78551016 protein_coding protein coding NA NA ENSG00000133863.7_2 NA NA TEX15 0.00620609 0.73452474 protein_coding protein coding NA NA ENSG00000166405.14_3 NA NA RIC3 0.00620666 −0.69351192 protein_coding protein coding NA NA ENSG00000239857.6_4 NA NA GET4 0.00621227 0.68781717 protein_coding protein coding NA NA ENSG00000162909.17_2 NA NA CAPN2 0.00623359 0.73299248 protein_coding protein coding NA NA ENSG00000104957.13_2 NA NA CCDC130 0.00624837 0.74569688 protein_coding protein coding NA NA ENSG00000177602.5_3 NA NA HASPIN 0.00625129 0.68733891 protein_coding protein coding NA NA ENSG00000165943.4_2 NA NA MOAP1 0.00629881 −0.72436847 protein_coding protein coding NA NA ENSG00000273983.1_2 NA NA HIST1H3G 0.00639926 0.6423454 protein_coding protein coding NA NA ENSG00000120802.13_3 NA NA TMPO 0.0064147 0.84431684 protein_coding protein coding NA NA ENSG00000225975.6_2 NA NA LINC01534 0.00644967 0.60031662 lincRNA IncRNA NA NA ENSG00000166987.14_3 NA NA MBD6 0.00645421 0.84424502 protein_coding protein coding NA NA ENSG00000124145.6_3 NA NA SDC4 0.00647337 0.56801367 protein_coding protein coding NA NA ENSG00000166923.10_2 NA NA GREM1 0.00649653 0.68134893 protein_coding protein coding NA NA ENSG00000175727.9 NA NA MLXIP 0.00650384 0.78381537 protein_coding protein coding NA NA ENSG00000067141.16_2 NA NA NEO1 0.00650663 −0.79363322 protein_coding protein coding NA NA ENSG00000163864.15_3 NA NA NMNAT3 0.00651052 0.89353374 protein_coding protein coding NA NA ENSG00000176208.8_2 NA NA ATAD5 0.00652327 0.80070317 protein_coding protein coding NA NA ENSG00000048471.13_3 NA NA SNX29 0.00654557 0.77962508 protein_coding protein coding NA NA ENSG00000131747.14_2 NA NA TOP2A 0.00655663 0.70397256 protein_coding protein coding NA NA ENSG00000116171.17_3 NA NA SCP2 0.00656278 −0.78453246 protein_coding protein coding NA NA ENSG00000104889.5_2 NA NA RNASEH2A 0.00667083 0.630166 protein_coding protein coding NA NA ENSG00000228801.5_3 NA NA AC064807.1 0.00668321 0.57872584 antisense_RNA IncRNA NA NA ENSG00000002822.15_3 NA NA MAD1L1 0.00671091 0.68337838 protein_coding protein coding NA NA ENSG00000105388.15_3 NA NA CEACAM5 0.00672776 0.40459311 protein_coding protein coding NA NA ENSG00000182831.11_3 NA NA C16orf72 0.00678147 0.72321914 protein_coding protein coding NA NA ENSG00000188322.4_3 NA NA SBK1 0.00681165 0.64949601 protein_coding protein coding NA NA ENSG00000099364.16_3 NA NA FBXL19 0.00683494 0.80143342 protein_coding protein coding NA NA ENSG00000187764.11_3 NA NA SEMA4D 0.00684157 0.67162226 protein_coding protein coding NA NA ENSG00000180900.18_3 NA NA SCRIB 0.00684167 0.80240127 protein_coding protein coding NA NA ENSG00000254726.2_2 NA NA MEX3A 0.00685968 0.7129495 protein_coding protein coding NA NA ENSG00000137812.19_3 NA NA KNL1 0.00696387 0.67532459 protein_coding protein coding NA NA ENSG00000244682.7_2 NA NA FCGR2C 0.00698828 0.64814663 polymorphic_pseudogene pseudogene NA NA ENSG00000205413.7_3 NA NA SAMD9 0.00705403 0.40946327 protein_coding protein coding NA NA ENSG00000279369.1_3 NA NA AC046185.3 0.00706012 0.66941823 TEC IncRNA NA NA ENSG00000163755.8_2 NA NA HPS3 0.00707463 0.54516145 protein_coding protein coding NA NA ENSG00000149179.13_2 NA NA C11orf49 0.00713141 0.68423837 protein_coding protein coding NA NA ENSG00000172757.12_3 NA NA CFL1 0.00714868 0.63377006 protein_coding protein coding NA NA ENSG00000152527.13_3 NA NA PLEKHH2 0.00719757 0.61973525 protein_coding protein coding NA NA ENSG00000278463.1_2 NA NA HIST1H2AB 0.00720641 0.69424341 protein_coding protein coding NA NA ENSG00000142409.5_2 NA NA ZNF787 0.00726444 0.69051338 protein_coding protein coding NA NA ENSG00000079112.9_3 NA NA CDH17 0.00728394 0.5845861 protein_coding protein coding NA NA ENSG00000188895.11_4 NA NA MSL1 0.00734789 0.70124282 protein_coding protein coding NA NA ENSG00000124151.18_3 NA NA NCOA3 0.00734845 0.80282693 protein_coding protein coding NA NA ENSG00000181904.8_3 NA NA C5orf24 0.00747963 −0.65026949 protein_coding protein coding NA NA ENSG00000147364.16_2 NA NA FBXO25 0.00748744 −0.82087403 protein_coding protein coding NA NA ENSG00000156787.16_3 NA NA TBC1D31 0.00751176 0.60009549 protein_coding protein coding NA NA ENSG00000141756.18_4 NA NA FKBP10 0.00751767 0.55301623 protein_coding protein coding NA NA ENSG00000068137.14_2 NA NA PLEKHH3 0.00752711 0.67137194 protein_coding protein coding NA NA ENSG00000138756.17_3 NA NA BMP2K 0.00759169 0.65704721 protein_coding protein coding NA NA ENSG00000183778.17_3 NA NA B3GALT5 0.00762355 0.52865349 protein_coding protein coding NA NA ENSG00000165244.6_2 NA NA ZNF367 0.00765759 0.61425894 protein_coding protein coding NA NA ENSG00000071054.16_3 NA NA MAP4K4 0.00766812 0.78029519 protein_coding protein coding NA NA ENSG00000109472.13_2 NA NA CPE 0.00767132 −0.68653717 protein_coding protein coding NA NA ENSG00000183856.10_2 NA NA IQGAP3 0.00768715 0.75469277 protein_coding protein coding NA NA ENSG00000105698.15_2 NA NA USF2 0.0077034 0.72651665 protein_coding protein coding NA NA ENSG00000213024.11_3 NA NA NUP62 0.00770865 0.75860995 protein_coding protein coding NA NA ENSG00000181135.15_4 NA NA ZNF707 0.00775207 0.60464366 protein_coding protein coding NA NA ENSG00000111642.14_2 NA NA CHD4 0.00775751 0.81565598 protein_coding protein coding NA NA ENSG00000143226.13_4 NA NA FCGR2A 0.0077635 0.73860165 protein_coding protein coding NA NA ENSG00000083812.11_3 NA NA ZNF324 0.00776394 0.65425054 protein_coding protein coding NA NA ENSG00000003249.13_2 NA NA DBNDD1 0.00781023 0.7210908 protein_coding protein coding NA NA ENSG00000071462.11_4 NA NA BUD23 0.00783166 0.50239505 protein_coding protein coding NA NA ENSG00000106144.19_2 NA NA CASP2 0.00795894 0.90694493 protein_coding protein coding NA NA ENSG00000223350.2_2 NA NA IGLV9-49 0.00801309 0.50552759 IG_V_gene Ig/TcR NA NA ENSG00000188064.9_3 NA NA WNT7B 0.0080259 0.68935319 protein_coding protein coding NA NA ENSG00000214293.8_2 NA NA APTR 0.00805006 0.55756262 lincRNA IncRNA NA NA ENSG00000262772.1_2 NA NA LINC01977 0.00807308 0.48461167 lincRNA IncRNA NA NA ENSG00000131381.12_3 NA NA RBSN 0.00808121 0.76164983 protein_coding protein coding NA NA ENSG00000234814.8_3 NA NA SVILP1 0.0081088 0.44580833 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000161996.18_3 NA NA WDR90 0.00816203 0.5621422 protein_coding protein coding NA NA ENSG00000182872.15_3 NA NA RBM10 0.00816917 0.74206953 protein_coding protein coding NA NA ENSG00000113810.15_2 NA NA SMC4 0.00820813 0.66305211 protein_coding protein coding NA NA ENSG00000168014.16_4 NA NA C2CD3 0.00821438 0.64244803 protein_coding protein coding NA NA ENSG00000127586.16_2 NA NA CHTF18 0.00823568 0.605582 protein_coding protein coding NA NA ENSG00000133884.9_2 NA NA DPF2 0.0082556 0.81302861 protein_coding protein coding NA NA ENSG00000116954.7_2 NA NA RRAGC 0.00828588 0.71890827 protein_coding protein coding NA NA ENSG00000136828.18_3 NA NA RALGPS1 0.00828852 0.56719854 protein_coding protein coding NA NA ENSG00000272168.6_3 NA NA CASC15 0.00829912 0.61703248 lincRNA IncRNA NA NA ENSG00000197114.11_3 NA NA ZGPAT 0.00833339 0.77127548 protein_coding protein coding NA NA ENSG00000241058.3_3 NA NA NSUN6 0.00834246 −0.68431576 protein_coding protein coding NA NA ENSG00000081181.7_2 NA NA ARG2 0.00837362 −0.70396194 protein_coding protein coding NA NA ENSG00000160207.8_3 NA NA HSF2BP 0.00839222 0.5559067 protein_coding protein coding NA NA ENSG00000138495.6_3 NA NA COX17 0.00839522 0.65803731 protein_coding protein coding NA NA ENSG00000179588.8_2 NA NA ZFPM1 0.00841476 0.74516522 protein_coding protein coding NA NA ENSG00000234616.8_3 NA NA JRK 0.00851223 0.64880311 protein_coding protein coding NA NA ENSG00000167491.17_3 NA NA GATAD2A 0.00851649 0.64266606 protein_coding protein coding NA NA ENSG00000173465.7_3 NA NA SSSCA1 0.00852553 0.90865985 protein_coding protein coding NA NA ENSG00000146063.19_2 NA NA TRIM41 0.00856263 0.67204679 protein_coding protein coding NA NA ENSG00000230102.7_3 NA NA LINC02028 0.00865465 0.53176327 processed_transcript IncRNA NA NA ENSG00000131781.12_3 NA NA FMO5 0.00866251 −0.91412305 protein_coding protein coding NA NA ENSG00000144810.15_2 NA NA COL8A1 0.00868143 0.73441907 protein_coding protein coding NA NA ENSG00000215895.4_3 NA NA AL354702.1 0.00869648 −0.70177898 processed_pseudogene pseudogene NA NA ENSG00000103550.13_4 NA NA KNOP1 0.00870132 0.63047696 protein_coding protein coding NA NA ENSG00000143793.12_2 NA NA C1orf35 0.00873092 0.61397902 protein_coding protein coding NA NA ENSG00000122641.10_3 NA NA INHBA 0.00875931 0.76428744 protein_coding protein coding NA NA ENSG00000169604.19_3 NA NA ANTXR1 0.00880644 0.70968961 protein_coding protein coding NA NA ENSG00000146830.9_2 NA NA GIGYF1 0.00882685 0.69918713 protein_coding protein coding NA NA ENSG00000110583.12_3 NA NA NAA40 0.0089188 0.67658987 protein_coding protein coding NA NA ENSG00000278588.1_2 NA NA HIST1H2BI 0.0089328 0.58065532 protein_coding protein coding NA NA ENSG00000088340.15_3 NA NA FER1L4 0.00902712 0.47494442 transcribed_unitary_pseudogene pseudogene NA NA ENSG00000239911.2_3 NA NA PRKAG2-AS1 0.00912075 0.58960453 antisense_RNA IncRNA NA NA ENSG00000250427.1_2 NA NA LINC02148 0.00912239 0.63765114 lincRNA IncRNA NA NA ENSG00000215447.7_3 NA NA BX322557.1 0.00913075 0.68715328 processed_transcript IncRNA NA NA ENSG00000107581.12_2 NA NA EIF3A 0.00913164 −0.6226504 protein_coding protein coding NA NA ENSG00000111671.9_3 NA NA SPSB2 0.00916413 0.66416412 protein_coding protein coding NA NA ENSG00000070814.17_3 NA NA TCOF1 0.00918699 0.77794612 protein_coding protein coding NA NA ENSG00000095397.13_3 NA NA WHRN 0.00928508 0.67652589 protein_coding protein coding NA NA ENSG00000143228.12_3 NA NA NUF2 0.00929714 0.65087105 protein_coding protein coding NA NA ENSG00000158014.14_2 NA NA SLC30A2 0.00930471 0.44985271 protein_coding protein coding NA NA ENSG00000164684.13_3 NA NA ZNF704 0.00930541 0.67518345 protein_coding protein coding NA NA ENSG00000103540.16_3 NA NA CCP110 0.00936624 0.72277398 protein_coding protein coding NA NA ENSG00000006118.14_4 NA NA TMEM132A 0.0093766 0.73786933 protein_coding protein coding NA NA ENSG00000211956.2_2 NA NA IGHV4-34 0.0094039 0.53521645 IG_V_gene Ig/TcR NA NA ENSG00000126001.15_2 NA NA CEP250 0.00941588 0.67765673 protein_coding protein coding NA NA ENSG00000198700.9_2 NA NA IPO9 0.00942796 0.62750844 protein_coding protein coding NA NA ENSG00000171345.13_2 NA NA KRT19 0.00948521 0.6901451 protein_coding protein coding NA NA ENSG00000221838.9_2 NA NA AP4M1 0.00954467 0.58919679 protein_coding protein coding NA NA ENSG00000077152.9_2 NA NA UBE2T 0.00955502 0.71956205 protein_coding protein coding NA NA ENSG00000274997.1_2 NA NA HIST1H2AH 0.00957247 0.54346487 protein_coding protein coding NA NA ENSG00000169562.9_2 NA NA GJB1 0.00958892 −0.66644036 protein_coding protein coding NA NA ENSG00000116096.5_2 NA NA SPR 0.00960341 −0.67577061 protein_coding protein coding NA NA ENSG00000064601.16_2 NA NA CTSA 0.00961796 0.6153457 protein_coding protein coding NA NA ENSG00000124429.17_2 NA NA POF1B 0.00966114 0.56155802 protein_coding protein coding NA NA ENSG00000064419.13_2 NA NA TNPO3 0.00977203 0.58908967 protein_coding protein coding NA NA ENSG00000166479.9_3 NA NA TMX3 0.00979454 −0.66025697 protein_coding protein coding NA NA ENSG00000011243.17_3 NA NA AKAP8L 0.0098506 0.69274866 protein_coding protein coding NA NA ENSG00000145604.15_2 NA NA SKP2 0.00991531 0.84486826 protein_coding protein coding NA NA ENSG00000106993.11_2 NA NA CDC37L1 0.00994843 −0.69887518 protein_coding protein coding NA NA ENSG00000102302.7_2 NA NA FGD1 0.00995554 0.63520011 protein_coding protein coding NA NA ENSG00000101189.6_2 NA NA MRGBP 0.00996969 0.67802406 protein_coding protein coding NA NA ENSG00000261189.1_3 NA NA AL031058.1 0.01000006 0.56679582 antisense_RNA IncRNA NA NA ENSG00000011426.10_3 NA NA ANLN 0.01005453 0.66920662 protein_coding protein coding NA NA ENSG00000117266.15_4 NA NA CDK18 0.01008693 0.62485057 protein_coding protein coding NA NA ENSG00000087460.24_3 NA NA GNAS 0.01013446 0.63257625 protein_coding protein coding NA NA ENSG00000185347.17_4 NA NA C14orf80 0.01014507 0.62369031 protein_coding protein coding NA NA ENSG00000166889.13_2 NA NA PATL1 0.0101625 0.70793651 protein_coding protein coding NA NA ENSG00000113140.10_3 NA NA SPARC 0.01017746 0.7552262 protein_coding protein coding NA NA ENSG00000009335.17_3 NA NA UBE3C 0.01023207 0.63323831 protein_coding protein coding NA NA ENSG00000148308.17_2 NA NA GTF3C5 0.0102819 0.65467649 protein_coding protein coding NA NA ENSG00000268686.1_3 NA NA AC010643.1 0.01029908 0.56627655 antisense_RNA IncRNA NA NA ENSG00000179526.16_2 NA NA SHARPIN 0.01030367 0.5890813 protein_coding protein coding NA NA ENSG00000162931.11_3 NA NA TRIM17 0.01034691 0.75639709 protein_coding protein coding NA NA ENSG00000047457.13_2 NA NA CP 0.01034802 0.62050095 protein_coding protein coding NA NA ENSG00000162063.12_3 NA NA CCNF 0.01036566 0.56665491 protein_coding protein coding NA NA ENSG00000182551.13_2 NA NA ADI1 0.01043435 −0.75942697 protein_coding protein coding NA NA ENSG00000077514.8_3 NA NA POLD3 0.01044054 0.72367416 protein_coding protein coding NA NA ENSG00000127191.17_2 NA NA TRAF2 0.01046014 0.68283364 protein_coding protein coding NA NA ENSG00000176410.7_2 NA NA DNAJC30 0.01053929 0.54003076 protein_coding protein coding NA NA ENSG00000157020.17_3 NA NA SEC13 0.01060194 0.64626238 protein_coding protein coding NA NA ENSG00000185499.16_3 NA NA MUC1 0.01063878 0.51838622 protein_coding protein coding NA NA ENSG00000165724.5_2 NA NA ZMYND19 0.01065956 0.7221455 protein_coding protein coding NA NA ENSG00000119711.12_3 NA NA ALDH6A1 0.01070678 −0.81730283 protein_coding protein coding NA NA ENSG00000197093.10_2 NA NA GAL3ST4 0.0107387 0.63781249 protein_coding protein coding NA NA ENSG00000236212.1_3 NA NA AC009262.1 0.01079282 0.47061883 lincRNA IncRNA NA NA ENSG00000196943.12_3 NA NA NOP9 0.01080689 0.66546892 protein_coding protein coding NA NA ENSG00000068028.17_2 NA NA RASSF1 0.01081678 0.69637936 protein_coding protein coding NA NA ENSG00000100889.11_2 NA NA PCK2 0.01084259 0.55737596 protein_coding protein coding NA NA ENSG00000244300.2_3 NA NA GATA2-AS1 0.01089866 0.58659972 antisense_RNA IncRNA NA NA ENSG00000166578.9_2 NA NA IQCD 0.01092876 0.46688559 protein_coding protein coding NA NA ENSG00000167470.12_3 NA NA MIDN 0.01093228 0.71568692 protein_coding protein coding NA NA ENSG00000168887.10_3 NA NA C2orf68 0.01095765 0.81407149 protein_coding protein coding NA NA ENSG00000138642.14_3 NA NA HERC6 0.01095836 0.55384442 protein_coding protein coding NA NA ENSG00000103257.8_2 NA NA SLC7A5 0.01097362 0.64342187 protein_coding protein coding NA NA ENSG00000041353.9_3 NA NA RAB27B 0.01101355 −0.69973537 protein_coding protein coding NA NA ENSG00000168496.3_3 NA NA FEN1 0.0111089 0.71882095 protein_coding protein coding NA NA ENSG00000198901.13_2 NA NA PRC1 0.01113266 0.68883778 protein_coding protein coding NA NA ENSG00000172530.20_4 NA NA BANP 0.01115984 0.68266007 protein_coding protein coding NA NA ENSG00000160917.14_2 NA NA CPSF4 0.01120835 0.61324443 protein_coding protein coding NA NA ENSG00000211952.3_2 NA NA IGHV4-28 0.01126027 0.5351291 IG_V_gene Ig/TcR NA NA ENSG00000005339.14_3 NA NA CREBBP 0.01128237 0.69778573 protein_coding protein coding NA NA ENSG00000173193.13_3 NA NA PARP14 0.01130854 0.57970849 protein_coding protein coding NA NA ENSG00000130787.13_2 NA NA HIP1R 0.01132878 0.69867691 protein_coding protein coding NA NA ENSG00000132680.10_3 NA NA KIAA0907 0.01139508 0.68325812 protein_coding protein coding NA NA ENSG00000149782.11_2 NA NA PLCB3 0.01149484 0.72756235 protein_coding protein coding NA NA ENSG00000134321.11_2 NA NA RSAD2 0.01151294 0.38388396 protein_coding protein coding NA NA ENSG00000087365.15_3 NA NA SF3B2 0.01151631 0.60118645 protein_coding protein coding NA NA ENSG00000143294.14_2 NA NA PRCC 0.01155804 0.73552376 protein_coding protein coding NA NA ENSG00000123500.9_3 NA NA COL10A1 0.01159673 0.66307459 protein_coding protein coding NA NA ENSG00000101150.17_3 NA NA TPD52L2 0.01160378 0.65247133 protein_coding protein coding NA NA ENSG00000028310.17_3 NA NA BRD9 0.01161754 0.66095199 protein_coding protein coding NA NA ENSG00000169231.13_2 NA NA THBS3 0.01163756 0.66825918 protein_coding protein coding NA NA ENSG00000158710.14_2 NA NA TAGLN2 0.01164128 0.64873798 protein_coding protein coding NA NA ENSG00000117724.12_2 NA NA CENPF 0.011664 0.63709503 protein_coding protein coding NA NA ENSG00000113448.18_3 NA NA PDE4D 0.01167126 −0.73959138 protein_coding protein coding NA NA ENSG00000242622.1_3 NA NA AC092910.3 0.01167797 0.54247427 lincRNA IncRNA NA NA ENSG00000173702.7_4 NA NA MUC13 0.01169595 0.46280486 protein_coding protein coding NA NA ENSG00000066422.4_2 NA NA ZBTB11 0.01171617 0.68817094 protein_coding protein coding NA NA ENSG00000215807.4_2 NA NA KRT18P65 0.01171888 −0.7445129 processed_pseudogene pseudogene NA NA ENSG00000149269.9_3 NA NA PAK1 0.01172178 0.63067102 protein_coding protein coding NA NA ENSG00000134343.12_3 NA NA ANO3 0.01172846 0.480181 protein_coding protein coding NA NA ENSG00000167394.12_2 NA NA ZNF668 0.01179446 0.74849117 protein_coding protein coding NA NA ENSG00000110492.15_4 NA NA MDK 0.01179897 0.63255907 protein_coding protein coding NA NA ENSG00000146039.10_2 NA NA SLC17A4 0.01182543 0.56669039 protein_coding protein coding NA NA ENSG00000136490.8_2 NA NA LIMD2 0.01184049 0.74166873 protein_coding protein coding NA NA ENSG00000175305.17_3 NA NA CCNE2 0.0118812 0.7131421 protein_coding protein coding NA NA ENSG00000184661.13_2 NA NA CDCA2 0.01188388 0.54526357 protein_coding protein coding NA NA ENSG00000196670.13_3 NA NA ZFP62 0.01191116 0.73769526 protein_coding protein coding NA NA ENSG00000185024.16_3 NA NA BRF1 0.01192608 0.63043027 protein_coding protein coding NA NA ENSG00000225937.1_3 NA NA PCA3 0.01193377 −0.70818105 antisense_RNA IncRNA NA NA ENSG00000133466.13_2 NA NA C1QTNF6 0.01194804 0.50413918 protein_coding protein coding NA NA ENSG00000181036.13_2 NA NA FCRL6 0.01197963 0.65023644 protein_coding protein coding NA NA ENSG00000105948.13_2 NA NA TTC26 0.01198665 0.56897941 protein_coding protein coding NA NA ENSG00000183935.5_2 NA NA HTR7P1 0.01205782 0.50558102 transcribed_processed_pseudogene pseudogene NA NA ENSG00000159216.18_3 NA NA RUNX1 0.01222787 0.70739425 protein_coding protein coding NA NA ENSG00000180233.10_3 NA NA ZNRF2 0.01225014 0.6499055 protein_coding protein coding NA NA ENSG00000109685.17_3 NA NA NSD2 0.01228054 0.51541239 protein_coding protein coding NA NA ENSG00000120903.12_3 NA NA CHRNA2 0.01228097 −0.71050224 protein_coding protein coding NA NA ENSG00000117399.13_2 NA NA CDC20 0.01238595 0.70222918 protein_coding protein coding NA NA ENSG00000173120.14_2 NA NA KDM2A 0.01239209 0.54360668 protein_coding protein coding NA NA ENSG00000248367.1_3 NA NA AC008610.1 0.01239337 0.50077911 antisense_RNA IncRNA NA NA ENSG00000168795.4_2 NA NA ZBTB5 0.0124072 0.47460516 protein_coding protein coding NA NA ENSG00000160991.15_2 NA NA ORAI2 0.01242361 0.70237283 protein_coding protein coding NA NA ENSG00000130684.13_2 NA NA ZNF337 0.01242444 0.7076635 protein_coding protein coding NA NA ENSG00000137103.17_3 NA NA TMEM8B 0.01243271 0.39954848 protein_coding protein coding NA NA ENSG00000142149.8_3 NA NA HUNK 0.01244213 0.6072494 protein_coding protein coding NA NA ENSG00000070476.14_2 NA NA ZXDC 0.01245345 0.68964659 protein_coding protein coding NA NA ENSG00000104825.16_2 NA NA NFKBIB 0.01247454 0.57723646 protein_coding protein coding NA NA ENSG00000176182.5_2 NA NA MYPOP 0.01254589 0.71732828 protein_coding protein coding NA NA ENSG00000139211.6_2 NA NA AMIGO2 0.01259465 0.64197396 protein_coding protein coding NA NA ENSG00000143398.19_3 NA NA PIP5K1A 0.01265509 0.65964107 protein_coding protein coding NA NA ENSG00000166529.14_2 NA NA ZSCAN21 0.01267692 0.51954108 protein_coding protein coding NA NA ENSG00000137185.11_2 NA NA ZSCAN9 0.01269085 0.64177788 protein_coding protein coding NA NA ENSG00000167996.15_3 NA NA FTH1 0.01272067 0.69759787 protein_coding protein coding NA NA ENSG00000172987.12_3 NA NA HPSE2 0.01277461 −0.91081138 protein_coding protein coding NA NA ENSG00000138180.15_2 NA NA CEP55 0.01278527 0.5947136 protein_coding protein coding NA NA ENSG00000230918.1_3 NA NA AC008063.1 0.01279083 −0.73897286 antisense_RNA IncRNA NA NA ENSG00000124508.16_3 NA NA BTN2A2 0.01282083 0.64191387 protein_coding protein coding NA NA ENSG00000173950.15_3 NA NA XXYLT1 0.01284998 0.69347156 protein_coding protein coding NA NA ENSG00000197136.4_3 NA NA PCNX3 0.01290462 0.69434658 protein_coding protein coding NA NA ENSG00000149554.12_2 NA NA CHEK1 0.01293473 0.7003543 protein_coding protein coding NA NA ENSG00000101986.11_2 NA NA ABCD1 0.0130551 0.60212655 protein_coding protein coding NA NA ENSG00000095906.16_3 NA NA NUBP2 0.01306309 0.63786821 protein_coding protein coding NA NA ENSG00000213693.4_2 NA NA SEC14L1P1 0.01316821 0.60571772 processed_pseudogene pseudogene NA NA ENSG00000274267.1_2 NA NA HIST1H3B 0.01317207 0.59413022 protein_coding protein coding NA NA ENSG00000011132.11_3 NA NA APBA3 0.01318899 0.76179282 protein_coding protein coding NA NA ENSG00000158301.18_3 NA NA GPRASP2 0.01319599 −0.68469677 protein_coding protein coding NA NA ENSG00000111145.7_3 NA NA ELK3 0.01325256 0.68991384 protein_coding protein coding NA NA ENSG00000139044.10_3 NA NA B4GALNT3 0.01325973 0.74113091 protein_coding protein coding NA NA ENSG00000100911.15_3 NA NA PSME2 0.01329833 0.57838754 protein_coding protein coding NA NA ENSG00000175376.8_2 NA NA EIF1AD 0.01330766 0.49580301 protein_coding protein coding NA NA ENSG00000049541.10_3 NA NA RFC2 0.01332577 0.6471473 protein_coding protein coding NA NA ENSG00000106462.10_3 NA NA EZH2 0.01333789 0.57824031 protein_coding protein coding NA NA ENSG00000147799.11_2 NA NA ARHGAP39 0.01337987 0.73668279 protein_coding protein coding NA NA ENSG00000178951.8_3 NA NA ZBTB7A 0.01338062 0.668084 protein_coding protein coding NA NA ENSG00000172167.7_3 NA NA MTBP 0.01341891 0.57517385 protein_coding protein coding NA NA ENSG00000102547.18_2 NA NA CAB39L 0.01343524 −0.71490795 protein_coding protein coding NA NA ENSG00000167395.10_3 NA NA ZNF646 0.01346027 0.73398281 protein_coding protein coding NA NA ENSG00000102882.11_3 NA NA MAPK3 0.01354995 0.64648292 protein_coding protein coding NA NA ENSG00000240216.7_3 NA NA CPHL1P 0.01356482 0.46742062 transcribed_unitary_pseudogen pseudogene NA NA ENSG00000162032.15_3 NA NA SPSB3 0.01357995 0.60153706 protein_coding protein coding NA NA ENSG00000253320.5_4 NA NA AZIN1-AS1 0.01362734 0.57110489 antisense_RNA IncRNA NA NA ENSG00000111319.12_3 NA NA SCNN1A 0.01364232 0.66019146 protein_coding protein coding NA NA ENSG00000152669.8_2 NA NA CCNO 0.01366595 0.55174333 protein_coding protein coding NA NA ENSG00000135899.17_3 NA NA SP110 0.01367048 0.48820189 protein_coding protein coding NA NA ENSG00000127947.15_2 NA NA PTPN12 0.0137175 0.53167614 protein_coding protein coding NA NA ENSG00000120697.8_3 NA NA ALG5 0.01372201 −0.66205881 protein_coding protein coding NA NA ENSG00000211637.2_2 NA NA IGLV4-69 0.01376761 0.31646192 IG_V_gene Ig/TcR NA NA ENSG00000161202.17_2 NA NA DVL3 0.01379383 0.6404853 protein_coding protein coding NA NA ENSG00000161888.11_3 NA NA SPC24 0.01384808 0.62223368 protein_coding protein coding NA NA ENSG00000198369.9_3 NA NA SPRED2 0.01388639 0.62159764 protein_coding protein coding NA NA ENSG00000080189.14_2 NA NA SLC35C2 0.01390008 0.6427984 protein_coding protein coding NA NA ENSG00000135956.8_2 NA NA TMEM127 0.01392866 0.63862878 protein_coding protein coding NA NA ENSG00000139436.20_3 NA NA GIT2 0.01397872 0.68336111 protein_coding protein coding NA NA ENSG00000148773.13_3 NA NA MKI67 0.01399042 0.73520329 protein_coding protein coding NA NA ENSG00000099954.18_3 NA NA CECR2 0.01399187 −0.62376177 protein_coding protein coding NA NA ENSG00000167461.11_3 NA NA RAB8A 0.0141098 0.70913543 protein_coding protein coding NA NA ENSG00000013583.8_3 NA NA HEBP1 0.01412902 0.48559596 protein_coding protein coding NA NA ENSG00000135250.16_3 NA NA SRPK2 0.01414753 0.6419536 protein_coding protein coding NA NA ENSG00000142252.10_3 NA NA GEMIN7 0.01419199 0.75122519 protein_coding protein coding NA NA ENSG00000135063.17_3 NA NA FAM189A2 0.01419388 −0.74239538 protein_coding protein coding NA NA ENSG00000082701.14_4 NA NA GSK3B 0.01419883 0.68851244 protein_coding protein coding NA NA ENSG00000215915.9_3 NA NA ATAD3C 0.01422577 0.54540741 protein_coding protein coding NA NA ENSG00000163590.13_2 NA NA PPM1L 0.01424799 0.73540866 protein_coding protein coding NA NA ENSG00000142453.11_3 NA NA CARM1 0.01427986 0.72793331 protein_coding protein coding NA NA ENSG00000171877.20_3 NA NA FRMD5 0.01428514 0.58156692 protein_coding protein coding NA NA ENSG00000183763.8_2 NA NA TRAIP 0.01431678 0.71043837 protein_coding protein coding NA NA ENSG00000166851.14_3 NA NA PLK1 0.01435128 0.63295463 protein_coding protein coding NA NA ENSG00000151458.11_2 NA NA ANKRD50 0.01438888 0.708942 protein_coding protein coding NA NA ENSG00000211959.2_3 NA NA IGHV4-39 0.01443497 0.56417841 IG_V_gene Ig/TcR NA NA ENSG00000104147.8_2 NA NA OIP5 0.01448275 0.57358028 protein_coding protein coding NA NA ENSG00000213901.10_4 NA NA SLC23A3 0.01449048 0.48909727 protein_coding protein coding NA NA ENSG00000113328.18_2 NA NA CCNG1 0.01450744 −0.57761383 protein_coding protein coding NA NA ENSG00000132792.18_2 NA NA CTNNBL1 0.01458523 0.50864222 protein_coding protein coding NA NA ENSG00000112877.7_2 NA NA CEP72 0.01459067 0.65118806 protein_coding protein coding NA NA ENSG00000211965.4_3 NA NA IGHV3-49 0.01463299 0.52848671 IG_V_gene Ig/TcR NA NA ENSG00000149600.11_2 NA NA COMMD7 0.01470687 0.62086764 protein_coding protein coding NA NA ENSG00000197024.8_2 NA NA ZNF398 0.01472845 0.60538102 protein_coding protein coding NA NA ENSG00000185684.13_3 NA NA EP400NL 0.01473991 0.63811709 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000185650.9_3 NA NA ZFP36L1 0.01476669 0.73591473 protein_coding protein coding NA NA ENSG00000102225.15_3 NA NA CDK16 0.01477876 0.66399207 protein_coding protein coding NA NA ENSG00000148297.15_3 NA NA MED22 0.01493233 0.66695237 protein_coding protein coding NA NA ENSG00000145916.18_2 NA NA RMND5B 0.01496082 0.7115739 protein_coding protein coding NA NA ENSG00000240567.1_3 NA NA LINC02067 0.01501619 0.55817512 lincRNA IncRNA NA NA ENSG00000239569.3_4 NA NA KMT2E-AS1 0.0150566 0.51254403 antisense_RNA IncRNA NA NA ENSG00000068654.15_2 NA NA POLR1A 0.01519863 0.65652913 protein_coding protein coding NA NA ENSG00000168005.8_2 NA NA C11orf84 0.01521699 0.65169571 protein_coding protein coding NA NA ENSG00000187257.15_4 NA NA RSBN1L 0.01524284 0.53842883 protein_coding protein coding NA NA ENSG00000233930.3_3 NA NA KRTAP5-AS1 0.015269 0.53499038 antisense_RNA IncRNA NA NA ENSG00000173110.7_3 NA NA HSPA6 0.01527018 0.42732121 protein_coding protein coding NA NA ENSG00000154263.17_3 NA NA ABCA10 0.01530531 −0.71297119 protein_coding protein coding NA NA ENSG00000114346.13_2 NA NA ECT2 0.01535994 0.59005818 protein_coding protein coding NA NA ENSG00000140577.15_3 NA NA CRTC3 0.01537657 0.75671304 protein_coding protein coding NA NA ENSG00000137965.10_2 NA NA IFI44 0.0154033 0.42632785 protein_coding protein coding NA NA ENSG00000130758.7_3 NA NA MAP3K10 0.01547218 0.66038062 protein_coding protein coding NA NA ENSG00000272391.5_4 NA NA POM121C 0.01550812 0.7118826 protein_coding protein coding NA NA ENSG00000105576.15_4 NA NA TNPO2 0.01551373 0.71239131 protein_coding protein coding NA NA ENSG00000155903.11_3 NA NA RASA2 0.01553513 0.62071264 protein_coding protein coding NA NA ENSG00000119185.12_2 NA NA ITGB1BP1 0.01555738 0.69840544 protein_coding protein coding NA NA ENSG00000239213.5_3 NA NA NCK1-AS1 0.01561078 0.65705909 antisense_RNA IncRNA NA NA ENSG00000227531.1_3 NA NA AL162414.1 0.01574098 0.60974602 lincRNA IncRNA NA NA ENSG00000137809.16_3 NA NA ITGA11 0.01578766 0.62615385 protein_coding protein coding NA NA ENSG00000073910.20_4 NA NA FRY 0.01582214 0.59739537 protein_coding protein coding NA NA ENSG00000263072.6_3 NA NA ZNF213-AS1 0.01590049 0.46363085 antisense_RNA IncRNA NA NA ENSG00000071051.13_3 NA NA NCK2 0.01595329 0.56582742 protein_coding protein coding NA NA ENSG00000174586.10_3 NA NA ZNF497 0.01595349 0.58868159 protein_coding protein coding NA NA ENSG00000134086.7_2 NA NA VHL 0.01602522 0.71349626 protein_coding protein coding NA NA ENSG00000184675.9_2 NA NA AMER1 0.01605564 0.63016009 protein_coding protein coding NA NA ENSG00000106809.10_2 NA NA OGN 0.01613622 −0.62153059 protein_coding protein coding NA NA ENSG00000148219.16_3 NA NA ASTN2 0.01614251 −0.66782705 protein_coding protein coding NA NA ENSG00000188986.6_2 NA NA NELFB 0.01621449 0.6112958 protein_coding protein coding NA NA ENSG00000116213.15_2 NA NA WRAP73 0.01622024 0.53980626 protein_coding protein coding NA NA ENSG00000141696.12_4 NA NA P3H4 0.01625328 0.5240871 protein_coding protein coding NA NA ENSG00000088038.17_3 NA NA CNOT3 0.01626705 0.66098601 protein_coding protein coding NA NA ENSG00000162849.15_3 NA NA KIF26B 0.01626862 0.53050732 protein_coding protein coding NA NA ENSG00000146233.7_2 NA NA CYP39A1 0.01627021 −0.65246877 protein_coding protein coding NA NA ENSG00000179583.18_3 NA NA CIITA 0.01627761 0.68187903 protein_coding protein coding NA NA ENSG00000078246.16_3 NA NA TULP3 0.01630731 0.65277163 protein_coding protein coding NA NA ENSG00000139154.14_4 NA NA AEBP2 0.01633792 0.4775039 protein_coding protein coding NA NA ENSG00000026950.16_3 NA NA BTN3A1 0.01634493 0.58617767 protein_coding protein coding NA NA ENSG00000248932.5_4 NA NA AC097103.2 0.01638687 0.54230575 antisense_RNA IncRNA NA NA ENSG00000164983.7_2 NA NA TMEM65 0.01641511 0.62221999 protein_coding protein coding NA NA ENSG00000225643.1_3 NA NA AL606491.1 0.01643844 0.60572027 lincRNA IncRNA NA NA ENSG00000133216.16_3 NA NA EPHB2 0.01653517 0.62021031 protein_coding protein coding NA NA ENSG00000174669.11_2 NA NA SLC29A2 0.0165943 0.59334997 protein_coding protein coding NA NA ENSG00000033100.16_3 NA NA CHPF2 0.01669807 0.62670021 protein_coding protein coding NA NA ENSG00000143476.17_2 NA NA DTL 0.0167152 0.61643718 protein_coding protein coding NA NA ENSG00000033050.7_2 NA NA ABCF2 0.01671957 0.61196851 protein_coding protein coding NA NA ENSG00000148680.15_2 NA NA HTR7 0.01673816 0.50303051 protein_coding protein coding NA NA ENSG00000103056.11_3 NA NA SMPD3 0.01675748 0.47535063 protein_coding protein coding NA NA ENSG00000232445.1_3 NA NA AC006329.1 0.01677901 0.57593159 antisense_RNA IncRNA NA NA ENSG00000134490.13_3 NA NA TMEM241 0.01682557 0.71391686 protein_coding protein coding NA NA ENSG00000139055.6_2 NA NA ERP27 0.01688473 0.37239848 protein_coding protein coding NA NA ENSG00000166016.5_3 NA NA ABTB2 0.01689563 0.58074385 protein_coding protein coding NA NA ENSG00000137747.15_3 NA NA TMPRSS13 0.01690811 0.60602193 protein_coding protein coding NA NA ENSG00000178163.7_2 NA NA ZNF518B 0.01692119 0.56809907 protein_coding protein coding NA NA ENSG00000104081.13_3 NA NA BMF 0.01696346 0.68882382 protein_coding protein coding NA NA ENSG00000172594.12_2 NA NA SMPDL3A 0.01696967 −0.8029396 protein_coding protein coding NA NA ENSG00000170632.13_3 NA NA ARMC10 0.01711504 0.59342996 protein_coding protein coding NA NA ENSG00000183258.11_3 NA NA DDX41 0.01720142 0.61914509 protein_coding protein coding NA NA ENSG00000158373.8_3 NA NA HIST1H2BD 0.01726047 0.56510998 protein_coding protein coding NA NA ENSG00000127616.17_3 NA NA SMARCA4 0.01728241 0.79794008 protein_coding protein coding NA NA ENSG00000058799.14_2 NA NA YIPF1 0.01728319 −0.66020412 protein_coding protein coding NA NA ENSG00000074803.17_3 NA NA SLC12A1 0.01732309 0.40052453 protein_coding protein coding NA NA ENSG00000175287.18_3 NA NA PHYHD1 0.01732828 −0.91741105 protein_coding protein coding NA NA ENSG00000198513.11_2 NA NA ATL1 0.01734502 −0.76913088 protein_coding protein coding NA NA ENSG00000165355.7_3 NA NA FBXO33 0.01737692 −0.5362502 protein_coding protein coding NA NA ENSG00000138829.11_3 NA NA FBN2 0.01744693 0.4162346 protein_coding protein coding NA NA ENSG00000123154.11_3 NA NA WDR83 0.01756642 0.47256543 protein_coding protein coding NA NA ENSG00000134815.18_2 NA NA DHX34 0.01761621 0.62623267 protein_coding protein coding NA NA ENSG00000103335.21_3 NA NA PIEZO1 0.01764608 0.68683533 protein_coding protein coding NA NA ENSG00000160949.16_2 NA NA TONSL 0.01767192 0.70884373 protein_coding protein coding NA NA ENSG00000164754.14_3 NA NA RAD21 0.01768444 0.71664805 protein_coding protein coding NA NA ENSG00000163249.11_3 NA NA CCNYL1 0.01768513 0.57652038 protein_coding protein coding NA NA ENSG00000072062.13_2 NA NA PRKACA 0.01771025 0.62544306 protein_coding protein coding NA NA ENSG00000099814.15_2 NA NA CEP170B 0.0177797 0.58857007 protein_coding protein coding NA NA ENSG00000146411.5_2 NA NA SLC2A12 0.01788532 −0.68012066 protein_coding protein coding NA NA ENSG00000148655.14_4 NA NA LRMDA 0.0178906 −0.65279444 protein_coding protein coding NA NA ENSG00000197674.6_3 NA NA OR51C1P 0.01791642 −0.70763418 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000064995.16_2 NA NA TAF11 0.01797792 0.61239356 protein_coding protein coding NA NA ENSG00000260233.3_2 NA NA SSSCA1-AS1 0.01798711 0.5821517 processed_transcript IncRNA NA NA ENSG00000166483.10_2 NA NA WEE1 0.01802165 0.6479873 protein_coding protein coding NA NA ENSG00000176619.12_3 NA NA LMNB2 0.01808737 0.70905113 protein_coding protein coding NA NA ENSG00000176855.11_2 NA NA KRT18P28 0.01810069 −0.66043777 processed_pseudogene pseudogene NA NA ENSG00000135245.9_3 NA NA HILPDA 0.018376 0.52167531 protein_coding protein coding NA NA ENSG00000206417.8_3 NA NA H1FX-AS1 0.01841645 0.55583075 antisense_RNA IncRNA NA NA ENSG00000235530.6_3 NA NA AC087294.1 0.01846915 0.55208022 antisense_RNA IncRNA NA NA ENSG00000108370.16_3 NA NA RGS9 0.01848429 0.60129785 protein_coding protein coding NA NA ENSG00000110427.14_3 NA NA KIAA1549L 0.01851653 0.6256169 protein_coding protein coding NA NA ENSG00000132970.12_3 NA NA WASF3 0.01854483 −0.603406 protein_coding protein coding NA NA ENSG00000122687.17_3 NA NA MRM2 0.01861102 0.55978462 protein_coding protein coding NA NA ENSG00000070756.15_3 NA NA PABPC1 0.01862597 0.53175666 protein_coding protein coding NA NA ENSG00000124357.12_2 NA NA NAGK 0.01871696 0.70244603 protein_coding protein coding NA NA ENSG00000135622.12_2 NA NA SEMA4F 0.01879502 0.63432032 protein_coding protein coding NA NA ENSG00000172432.18_3 NA NA GTPBP2 0.01881736 0.66155335 protein_coding protein coding NA NA ENSG00000084731.14_3 NA NA KIF3C 0.01883206 0.72204959 protein_coding protein coding NA NA ENSG00000165629.19_2 NA NA ATP5C1 0.01883533 −0.58203119 protein_coding protein coding NA NA ENSG00000134709.10_2 NA NA HOOK1 0.01887826 −0.60740585 protein_coding protein coding NA NA ENSG00000227718.1_2 NA NA AC016730.1 0.01887835 −0.86913169 lincRNA IncRNA NA NA ENSG00000133107.14_2 NA NA TRPC4 0.01894506 −0.67333053 protein_coding protein coding NA NA ENSG00000110274.15_3 NA NA CEP164 0.01896965 0.64813767 protein_coding protein coding NA NA ENSG00000068489.12_3 NA NA PRR11 0.01917399 0.71311068 protein_coding protein coding NA NA ENSG00000171940.13_3 NA NA ZNF217 0.01920501 0.56681164 protein_coding protein coding NA NA ENSG00000170852.10_3 NA NA KBTBD2 0.01920694 0.6623616 protein_coding protein coding NA NA ENSG00000253405.1_3 NA NA EVX1-AS 0.01920939 0.58795712 antisense_RNA IncRNA NA NA ENSG00000260658.5_4 NA NA AC138305.1 0.01921106 −0.73540899 lincRNA IncRNA NA NA ENSG00000113594.9_2 NA NA LIFR 0.01924023 −0.67191458 protein_coding protein coding NA NA ENSG00000136986.9_2 NA NA DERL1 0.01927098 0.63009058 protein_coding protein coding NA NA ENSG00000089127.12_3 NA NA OAS1 0.01931923 0.40972016 protein_coding protein coding NA NA ENSG00000176953.12_4 NA NA NFATC2IP 0.01933296 0.71075546 protein_coding protein coding NA NA ENSG00000197785.13_2 NA NA ATAD3A 0.01935699 0.6455055 protein_coding protein coding NA NA ENSG00000084112.14_3 NA NA SSH1 0.01936267 0.58468112 protein_coding protein coding NA NA ENSG00000134480.13_2 NA NA CCNH 0.01938002 −0.80182676 protein_coding protein coding NA NA ENSG00000164880.15_2 NA NA INTS1 0.01943477 0.74053209 protein_coding protein coding NA NA ENSG00000146067.15_2 NA NA FAM193B 0.01945073 0.59673983 protein_coding protein coding NA NA ENSG00000124743.5_2 NA NA KLHL31 0.01948971 0.54620233 protein_coding protein coding NA NA ENSG00000008323.15_2 NA NA PLEKHG6 0.01951457 0.70621606 protein_coding protein coding NA NA ENSG00000198792.12_3 NA NA TMEM184B 0.0195345 0.57335206 protein_coding protein coding NA NA ENSG00000120915.13_4 NA NA EPHX2 0.01955356 −0.64689683 protein_coding protein coding NA NA ENSG00000240204.2_2 NA NA SMKR1 0.01959441 0.5393277 protein_coding protein coding NA NA ENSG00000138193.15_3 NA NA PLCE1 0.01963483 0.46142649 protein_coding protein coding NA NA ENSG00000163930.9_2 NA NA BAP1 0.01966501 0.64724082 protein_coding protein coding NA NA ENSG00000154920.14_3 NA NA EME1 0.0197897 0.64641797 protein_coding protein coding NA NA ENSG00000165487.13_2 NA NA MICU2 0.0198438 −0.59025614 protein_coding protein coding NA NA ENSG00000102032.12_3 NA NA RENBP 0.01990189 0.52699761 protein_coding protein coding NA NA ENSG00000154917.10_2 NA NA RAB6B 0.01991814 0.60017718 protein_coding protein coding NA NA ENSG00000127452.8_2 NA NA FBXL12 0.02001566 0.60461026 protein_coding protein coding NA NA ENSG00000259702.2_3 NA NA AC024337.1 0.0200534 0.50664044 lincRNA IncRNA NA NA ENSG00000255622.3_2 NA NA PCDHB17P 0.02009405 0.52474503 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000105323.16_2 NA NA HNRNPUL1 0.02009796 0.73600279 protein_coding protein coding NA NA ENSG00000130675.14_3 NA NA MNX1 0.02018137 0.50289082 protein_coding protein coding NA NA ENSG00000089351.14_3 NA NA GRAMD1A 0.02023653 0.66041636 protein_coding protein coding NA NA ENSG00000143514.16_2 NA NA TP53BP2 0.02032624 0.61484161 protein_coding protein coding NA NA ENSG00000256916.1_3 NA NA AP000851.1 0.02033027 0.38734436 antisense_RNA IncRNA NA NA ENSG00000160051.11_3 NA NA IQCC 0.02033675 0.61599286 protein_coding protein coding NA NA ENSG00000226824.6_4 NA NA AC006001.2 0.02043644 0.56900865 sense_intronic IncRNA NA NA ENSG00000122574.10_2 NA NA WIPF3 0.02046716 0.47582868 protein_coding protein coding NA NA ENSG00000211648.2_2 NA NA IGLV1-47 0.02048106 0.52103474 IG_V_gene Ig/TcR NA NA ENSG00000196642.18_3 NA NA RABL6 0.02053113 0.64640381 protein_coding protein coding NA NA ENSG00000253223.1_3 NA NA AC110998.1 0.02053486 0.59009887 processed_pseudogene pseudogene NA NA ENSG00000049323.15_2 NA NA LTBP1 0.02054664 0.57245994 protein_coding protein coding NA NA ENSG00000054690.13_2 NA NA PLEKHH1 0.02059138 −0.56895317 protein_coding protein coding NA NA ENSG00000138744.14_4 NA NA NAAA 0.02060817 −0.65329428 protein_coding protein coding NA NA ENSG00000156983.15_3 NA NA BRPF1 0.02063337 0.66454005 protein_coding protein coding NA NA ENSG00000122566.20_3 NA NA HNRNPA2B 0.0207217 0.63443502 protein_coding protein coding NA NA ENSG00000169609.13_2 NA NA C15orf40 0.02073854 0.60740548 protein_coding protein coding NA NA ENSG00000242802.6_2 NA NA AP5Z1 0.02079863 0.56791969 protein_coding protein coding NA NA ENSG00000261360.1_3 NA NA AC010491.1 0.02088045 0.47548601 antisense_RNA IncRNA NA NA ENSG00000165025.14_2 NA NA SYK 0.02089535 0.64350459 protein_coding protein coding NA NA ENSG00000256128.5_2 NA NA LINC00944 0.02092545 0.55394368 lincRNA IncRNA NA NA ENSG00000162688.16_3 NA NA AGL 0.02093508 −0.66460774 protein_coding protein coding NA NA ENSG00000159884.11_3 NA NA CCDC107 0.02094044 0.42144649 protein_coding protein coding NA NA ENSG00000100836.10_3 NA NA PABPN1 0.02094753 0.6054652 protein_coding protein coding NA NA ENSG00000127831.10_3 NA NA VIL1 0.02102921 0.50292607 protein_coding protein coding NA NA ENSG00000167657.13_3 NA NA DAPK3 0.02104658 0.61209093 protein_coding protein coding NA NA ENSG00000232295.7_4 NA NA AL589935.1 0.0210615 −0.59780599 processed_transcript IncRNA NA NA ENSG00000260418.1_3 NA NA AL023284.4 0.02108279 0.45179396 lincRNA IncRNA NA NA ENSG00000184060.10_3 NA NA ADAP2 0.02108714 0.5534058 protein_coding protein coding NA NA ENSG00000182979.17_4 NA NA MTA1 0.02111266 0.64889895 protein_coding protein coding NA NA ENSG00000116761.11_2 NA NA CTH 0.02114615 −0.66053162 protein_coding protein coding NA NA ENSG00000253276.2_4 NA NA CCDC71L 0.02115408 0.54264616 protein_coding protein coding NA NA ENSG00000131470.14_2 NA NA PSMC3IP 0.02119766 0.61075889 protein_coding protein coding NA NA ENSG00000233994.2_2 NA NA GDI2P2 0.02122528 −0.5805929 processed_pseudogene pseudogene NA NA ENSG00000157456.7_3 NA NA CCNB2 0.02123871 0.61304474 protein_coding protein coding NA NA ENSG00000196584.2_2 NA NA XRCC2 0.02127836 0.62152949 protein_coding protein coding NA NA ENSG00000086205.16_2 NA NA FOLH1 0.02130411 −0.62188467 protein_coding protein coding NA NA ENSG00000176915.14_2 NA NA ANKLE2 0.02135547 0.87682099 protein_coding protein coding NA NA ENSG00000106070.17_3 NA NA GRB10 0.02146569 0.60359353 protein_coding protein coding NA NA ENSG00000184990.12_2 NA NA SIVA1 0.02148942 0.65272841 protein_coding protein coding NA NA ENSG00000149657.19_3 NA NA LSM14B 0.02152567 0.56860974 protein_coding protein coding NA NA ENSG00000085552.16_2 NA NA IGSF9 0.02163028 0.62145497 protein_coding protein coding NA NA ENSG00000211639.2_2 NA NA IGLV4-60 0.02168535 0.3854758 IG_V_gene Ig/TcR NA NA ENSG00000272304.1_4 NA NA AC096721.1 0.02173921 0.36639248 lincRNA IncRNA NA NA ENSG00000153179.12_3 NA NA RASSF3 0.02179629 −0.7280614 protein_coding protein coding NA NA ENSG00000008256.15_2 NA NA CYTH3 0.02181867 0.53304612 protein_coding protein coding NA NA ENSG00000172543.7_3 NA NA CTSW 0.0218331 0.57711282 protein_coding protein coding NA NA ENSG00000101191.16_3 NA NA DIDO1 0.0218759 0.59277407 protein_coding protein coding NA NA ENSG00000197063.10_3 NA NA MAFG 0.02192368 0.63350057 protein_coding protein coding NA NA ENSG00000177045.7_2 NA NA SIX5 0.02196427 0.57369499 protein_coding protein coding NA NA ENSG00000128918.14_3 NA NA ALDH1A2 0.02197779 −0.68109013 protein_coding protein coding NA NA ENSG00000134107.4_2 NA NA BHLHE40 0.02198773 0.58709289 protein_coding protein coding NA NA ENSG00000147010.17_3 NA NA SH3KBP1 0.02218398 0.62172039 protein_coding protein coding NA NA ENSG00000161036.12_3 NA NA LRWD1 0.02223524 0.60723665 protein_coding protein coding NA NA ENSG00000163558.12_2 NA NA PRKCI 0.02223625 0.65581222 protein_coding protein coding NA NA ENSG00000116005.11_2 NA NA PCYOX1 0.02230465 −0.56821917 protein_coding protein coding NA NA ENSG00000163617.10_2 NA NA CCDC191 0.02234682 0.55866823 protein_coding protein coding NA NA ENSG00000060491.16_3 NA NA OGFR 0.02256199 0.53462238 protein_coding protein coding NA NA ENSG00000277893.1_2 NA NA SRD5A2 0.02265 −0.6338243 protein_coding protein coding NA NA ENSG00000170445.12_3 NA NA HARS 0.02266825 −0.56227872 protein_coding protein coding NA NA ENSG00000168067.11_4 NA NA MAP4K2 0.02270451 0.60059488 protein_coding protein coding NA NA ENSG00000119333.11_2 NA NA WDR34 0.02270638 0.62206526 protein_coding protein coding NA NA ENSG00000163191.5_2 NA NA S100A11 0.02271996 0.58059859 protein_coding protein coding NA NA ENSG00000153485.5_3 NA NA TMEM251 0.02272342 −0.57725352 protein_coding protein coding NA NA ENSG00000178188.14_3 NA NA SH2B1 0.02285808 0.70094765 protein_coding protein coding NA NA ENSG00000215193.12_4 NA NA PEX26 0.0228652 0.68802979 protein_coding protein coding NA NA ENSG00000138778.11_2 NA NA CENPE 0.02287176 0.61500329 protein_coding protein coding NA NA ENSG00000229056.2_3 NA NA AC020571.1 0.02290145 −0.67088369 antisense_RNA IncRNA NA NA ENSG00000137573.13_3 NA NA SULF1 0.02303875 0.61219906 protein_coding protein coding NA NA ENSG00000049540.16_3 NA NA ELN 0.02310706 0.58559614 protein_coding protein coding NA NA ENSG00000117360.12_2 NA NA PRPF3 0.02313045 0.60159285 protein_coding protein coding NA NA ENSG00000106397.11_3 NA NA PLOD3 0.0233416 0.56180073 protein_coding protein coding NA NA ENSG00000122012.13_3 NA NA SV2C 0.02335666 0.4819521 protein_coding protein coding NA NA ENSG00000153714.5_2 NA NA LURAP1L 0.02341609 0.57208732 protein_coding protein coding NA NA ENSG00000165891.15_3 NA NA E2F7 0.0234548 0.63673301 protein_coding protein coding NA NA ENSG00000245571.6_4 NA NA AP001258.1 0.02352404 −0.82215442 lincRNA IncRNA NA NA ENSG00000146535.13_2 NA NA GNA12 0.02354537 0.58091748 protein_coding protein coding NA NA ENSG00000189298.13_2 NA NA ZKSCAN3 0.02354818 0.62160826 protein_coding protein coding NA NA ENSG00000205339.9_2 NA NA IPO7 0.02359277 −0.52024272 protein_coding protein coding NA NA ENSG00000141627.13_3 NA NA DYM 0.02359497 −0.59853264 protein_coding protein coding NA NA ENSG00000134056.11_2 NA NA MRPS36 0.02360013 −0.52085851 protein_coding protein coding NA NA ENSG00000240370.6_2 NA NA RPL13P5 0.02363854 0.62512069 transcribed_processed_pseudogene pseudogene NA NA ENSG00000176444.18_2 NA NA CLK2 0.02364842 0.62790142 protein_coding protein coding NA NA ENSG00000211655.3_2 NA NA IGLV1-36 0.02365083 0.52682515 IG_V_gene Ig/TcR NA NA ENSG00000172716.16_3 NA NA SLFN11 0.02365649 0.6469471 protein_coding protein coding NA NA ENSG00000075336.11_3 NA NA TIMM21 0.02374734 −0.58065317 protein_coding protein coding NA NA ENSG00000112902.11_3 NA NA SEMA5A 0.02377221 0.50378513 protein_coding protein coding NA NA ENSG00000160957.12_3 NA NA RECQL4 0.02385091 0.55405706 protein_coding protein coding NA NA ENSG00000163281.11_3 NA NA GNPDA2 0.02385907 −0.57291273 protein_coding protein coding NA NA ENSG00000165490.12_3 NA NA DDIAS 0.02388603 0.62868176 protein_coding protein coding NA NA ENSG00000166592.11_3 NA NA RRAD 0.0238894 0.5486542 protein_coding protein coding NA NA ENSG00000117983.17_3 NA NA MUC5B 0.0239186 0.3799802 protein_coding protein coding NA NA ENSG00000113761.11_3 NA NA ZNF346 0.0239196 0.63197217 protein_coding protein coding NA NA ENSG00000279020.1_3 NA NA C18orf15 0.02392093 0.51252768 TEC IncRNA NA NA ENSG00000234771.3_3 NA NA SLC25A25-AS1 0.02394197 0.57253904 antisense_RNA IncRNA NA NA ENSG00000214870.8_3 NA NA AC004540.1 0.02395098 0.53857395 lincRNA IncRNA NA NA ENSG00000111445.13_2 NA NA RFC5 0.02397637 0.62924698 protein_coding protein coding NA NA ENSG00000158079.14_3 NA NA PTPDC1 0.02411599 0.54965149 protein_coding protein coding NA NA ENSG00000239523.5_3 NA NA MYLK-AS1 0.02418969 0.39121077 antisense_RNA IncRNA NA NA ENSG00000138160.5_2 NA NA KIF11 0.02423351 0.58774814 protein_coding protein coding NA NA ENSG00000011105.12_3 NA NA TSPAN9 0.02425697 0.63489449 protein_coding protein coding NA NA ENSG00000250986.1_2 NA NA AC141928.1 0.02427073 −0.75237855 lincRNA IncRNA NA NA ENSG00000196092.12_2 NA NA PAX5 0.02432529 0.44812598 protein_coding protein coding NA NA ENSG00000136279.20_3 NA NA DBNL 0.0243841 0.55839331 protein_coding protein coding NA NA ENSG00000276180.1_2 NA NA HIST1H4I 0.02440057 0.6284341 protein_coding protein coding NA NA ENSG00000160796.16_2 NA NA NBEAL2 0.02447038 0.60238913 protein_coding protein coding NA NA ENSG00000001631.15_3 NA NA KRIT1 0.02450648 0.43488464 protein_coding protein coding NA NA ENSG00000114670.13_2 NA NA NEK11 0.02450667 0.54973535 protein_coding protein coding NA NA ENSG00000105221.16_3 NA NA AKT2 0.02452194 0.55794663 protein_coding protein coding NA NA ENSG00000151725.11_3 NA NA CENPU 0.02453375 0.62148713 protein_coding protein coding NA NA ENSG00000104824.16_3 NA NA HNRNPL 0.02455006 0.6447104 protein_coding protein coding NA NA ENSG00000111335.12_2 NA NA OAS2 0.0246251 0.46608266 protein_coding protein coding NA NA ENSG00000140284.10_2 NA NA SLC27A2 0.02471178 −0.62414923 protein_coding protein coding NA NA ENSG00000137628.16_3 NA NA DDX60 0.02472289 0.5023588 protein_coding protein coding NA NA ENSG00000168291.12_2 NA NA PDHB 0.02475157 −0.66766648 protein_coding protein coding NA NA ENSG00000159214.12_2 NA NA CCDC24 0.02480234 0.63089505 protein_coding protein coding NA NA ENSG00000197226.12_1 NA NA TBC1D9B 0.02482608 0.61202462 protein_coding protein coding NA NA ENSG00000182511.11_3 NA NA FES 0.02485983 0.66768593 protein_coding protein coding NA NA ENSG00000277775.1_2 NA NA HIST1H3F 0.02490905 0.56160851 protein_coding protein coding NA NA ENSG00000165966.14_2 NA NA PDZRN4 0.02497564 −0.59881229 protein_coding protein coding NA NA ENSG00000105643.9_3 NA NA ARRDC2 0.02501791 0.5866799 protein_coding protein coding NA NA ENSG00000268858.2_3 NA NA AL118506.1 0.02503476 0.54701398 antisense_RNA IncRNA NA NA ENSG00000185267.9_2 NA NA CDNF 0.02515016 −0.65595897 protein_coding protein coding NA NA ENSG00000114013.15_2 NA NA CD86 0.02517986 0.60559589 protein_coding protein coding NA NA ENSG00000112851.14_3 NA NA ERBIN 0.02522051 −0.51539335 protein_coding protein coding NA NA ENSG00000211897.9_3 NA NA IGHG3 0.02522957 0.44241623 IG_C_gene Ig/TcR NA NA ENSG00000060237.16_3 NA NA WNK1 0.0253253 0.6845349 protein_coding protein coding NA NA ENSG00000130701.3_2 NA NA RBBP8NL 0.02535073 0.54262149 protein_coding protein coding NA NA ENSG00000006327.13_2 NA NA TNFRSF12A 0.0253935 0.54893205 protein_coding protein coding NA NA ENSG00000196411.9_2 NA NA EPHB4 0.0254393 0.72110669 protein_coding protein coding NA NA ENSG00000106785.14_2 NA NA TRIM14 0.02547524 0.52295589 protein_coding protein coding NA NA ENSG00000166881.9_3 NA NA NEMP1 0.02548454 0.58089083 protein_coding protein coding NA NA ENSG00000111450.13_3 NA NA STX2 0.02553348 0.59077381 protein_coding protein coding NA NA ENSG00000106400.11_2 NA NA ZNHIT1 0.02555291 0.54307132 protein_coding protein coding NA NA ENSG00000078098.13_2 NA NA FAP 0.02555651 0.62084635 protein_coding protein coding NA NA ENSG00000263001.5_2 NA NA GTF2I 0.02557528 0.57029438 protein_coding protein coding NA NA ENSG00000117054.13_3 NA NA ACADM 0.02558123 −0.50888082 protein_coding protein coding NA NA ENSG00000175198.15_3 NA NA PCCA 0.0256139 −0.57927473 protein_coding protein coding NA NA ENSG00000146828.17_3 NA NA SLC12A9 0.02561955 0.62415121 protein_coding protein coding NA NA ENSG00000139636.15_2 NA NA LMBR1L 0.02565575 0.62403477 protein_coding protein coding NA NA ENSG00000164402.13_4 NA NA Sep 08 0.02567024 0.56393961 protein_coding protein coding NA NA ENSG00000072518.20_2 NA NA MARK2 0.02567688 0.65865738 protein_coding protein coding NA NA ENSG00000011304.19_4 NA NA PTBP1 0.02568194 0.65827466 protein_coding protein coding NA NA ENSG00000151500.14_2 NA NA THYN1 0.02577189 −0.80378675 protein_coding protein coding NA NA ENSG00000137203.10_2 NA NA TFAP2A 0.02577805 0.60177587 protein_coding protein coding NA NA ENSG00000166960.16_4 NA NA CCDC178 0.02578154 −0.64793398 protein_coding protein coding NA NA ENSG00000145214.13_3 NA NA DGKQ 0.02581447 0.49355237 protein_coding protein coding NA NA ENSG00000184254.16_3 NA NA ALDH1A3 0.02585063 −0.67100471 protein_coding protein coding NA NA ENSG00000146670.9_3 NA NA CDCA5 0.02585783 0.62076273 protein_coding protein coding NA NA ENSG00000185480.11_2 NA NA PARPBP 0.02588016 0.5968472 protein_coding protein coding NA NA ENSG00000163541.11_2 NA NA SUCLG1 0.02592771 −0.60985132 protein_coding protein coding NA NA ENSG00000104472.9_3 NA NA CHRAC1 0.0261035 0.5405175 protein_coding protein coding NA NA ENSG00000154265.15_3 NA NA ABCA5 0.02610917 −0.6922514 protein_coding protein coding NA NA ENSG00000173039.18_3 NA NA RELA 0.02613178 0.64479605 protein_coding protein coding NA NA ENSG00000101391.20_3 NA NA CDK5RAP1 0.02624912 0.58557469 protein_coding protein coding NA NA ENSG00000196139.13_3 NA NA AKR1C3 0.02634237 0.58681619 protein_coding protein coding NA NA ENSG00000168542.14_3 NA NA COL3A1 0.02642442 0.67294516 protein_coding protein coding NA NA ENSG00000183337.16_2 NA NA BCOR 0.02649856 0.6118476 protein_coding protein coding NA NA ENSG00000214655.10_3 NA NA ZSWIM8 0.02652984 0.51517103 protein_coding protein coding NA NA ENSG00000162692.10_2 NA NA VCAM1 0.02654155 0.6467296 protein_coding protein coding NA NA ENSG00000124575.6_2 NA NA HIST1H1D 0.02659085 0.62541838 protein_coding protein coding NA NA ENSG00000152454.3_2 NA NA ZNF256 0.02670341 0.62244406 protein_coding protein coding NA NA ENSG00000169155.9_3 NA NA ZBTB43 0.02672626 0.42469847 protein_coding protein coding NA NA ENSG00000230454.1_3 NA NA U73166.1 0.02675823 0.52045963 lincRNA IncRNA NA NA ENSG00000123136.14_2 NA NA DDX39A 0.0267829 0.63041779 protein_coding protein coding NA NA ENSG00000125826.20_3 NA NA RBCK1 0.0267842 0.62567633 protein_coding protein coding NA NA ENSG00000261342.1_3 NA NA AC006538.1 0.02691967 0.45860306 sense_intronic IncRNA NA NA ENSG00000229370.1_3 NA NA AC073062.1 0.02693139 −0.76828339 lincRNA IncRNA NA NA ENSG00000122557.9_3 NA NA HERPUD2 0.02694272 0.5858953 protein_coding protein coding NA NA ENSG00000124659.6_2 NA NA TBCC 0.02698287 0.58130588 protein_coding protein coding NA NA ENSG00000153006.15_3 NA NA SREK1IP1 0.02702954 −0.45155807 protein_coding protein coding NA NA ENSG00000116459.10_2 NA NA ATP5F1 0.02703065 −0.49625936 protein_coding protein coding NA NA ENSG00000135931.17_3 NA NA ARMC9 0.02704355 0.54297884 protein_coding protein coding NA NA ENSG00000100526.19_3 NA NA CDKN3 0.0270908 0.52873427 protein_coding protein coding NA NA ENSG00000114248.9_3 NA NA LRRC31 0.0271647 0.45281393 protein_coding protein coding NA NA ENSG00000101460.12_2 NA NA MAP1LC3A 0.02720825 0.56993217 protein_coding protein coding NA NA ENSG00000171552.12_3 NA NA BCL2L1 0.027213 0.54438605 protein_coding protein coding NA NA ENSG00000105397.13_3 NA NA TYK2 0.02721697 0.69679464 protein_coding protein coding NA NA ENSG00000163808.16_3 NA NA KIF15 0.02721838 0.47475437 protein_coding protein coding NA NA ENSG00000163872.15_3 NA NA YEATS2 0.02749814 0.58578085 protein_coding protein coding NA NA ENSG00000175336.9_2 NA NA APOF 0.02751457 −0.63868496 protein_coding protein coding NA NA ENSG00000139725.7_3 NA NA RHOF 0.02752153 0.62057433 protein_coding protein coding NA NA ENSG00000136238.17_2 NA NA RAC1 0.02752465 0.61953207 protein_coding protein coding NA NA ENSG00000230223.6_3 NA NA ATXN8OS 0.02754096 0.42172609 antisense_RNA IncRNA NA NA ENSG00000102524.11_3 NA NA TNFSF13B 0.02763417 0.5754188 protein_coding protein coding NA NA ENSG00000131323.14_3 NA NA TRAF3 0.02764261 0.63402745 protein_coding protein coding NA NA ENSG00000112874.9_2 NA NA NUDT12 0.02765159 −0.52757986 protein_coding protein coding NA NA ENSG00000047648.21_3 NA NA ARHGAP6 0.02766243 −0.53444591 protein_coding protein coding NA NA ENSG00000112799.8_2 NA NA LY86 0.02772516 0.63602198 protein_coding protein coding NA NA ENSG00000261502.3_4 NA NA AC040174.1 0.02780197 −0.9086351 processed_transcript IncRNA NA NA ENSG00000171703.16_3 NA NA TCEA2 0.02780235 0.60527443 protein_coding protein coding NA NA ENSG00000184634.15_3 NA NA MED12 0.02791952 0.75286094 protein_coding protein coding NA NA ENSG00000137959.15_3 NA NA IFI44L 0.02793375 0.38581647 protein_coding protein coding NA NA ENSG00000197472.14_3 NA NA ZNF695 0.02809714 0.5804235 protein_coding protein coding NA NA ENSG00000164896.19_3 NA NA FASTK 0.02812657 0.56437698 protein_coding protein coding NA NA ENSG00000141577.13_3 NA NA CEP131 0.02816729 0.69372892 protein_coding protein coding NA NA ENSG00000179262.9_2 NA NA RAD23A 0.02817349 0.72344931 protein_coding protein coding NA NA ENSG00000188878.19_4 NA NA FBF1 0.02819744 0.63001638 protein_coding protein coding NA NA ENSG00000129173.12_2 NA NA E2F8 0.02823144 0.57103006 protein_coding protein coding NA NA ENSG00000145423.4_2 NA NA SFRP2 0.02830189 0.53702165 protein_coding protein coding NA NA ENSG00000104154.6_2 NA NA SLC30A4 0.02830453 −0.53260705 protein_coding protein coding NA NA ENSG00000089289.15_2 NA NA IGBP1 0.02830992 −0.56949047 protein_coding protein coding NA NA ENSG00000090889.11_2 NA NA KIF4A 0.02831939 0.47803168 protein_coding protein coding NA NA ENSG00000267532.5_4 NA NA MIR497HG 0.02834919 0.56318436 antisense_RNA IncRNA NA NA ENSG00000156687.10_3 NA NA UNC5D 0.02846825 −0.70962822 protein_coding protein coding NA NA ENSG00000168209.4_2 NA NA DDIT4 0.02849047 0.56005797 protein_coding protein coding NA NA ENSG00000143942.4_2 NA NA CHAC2 0.02855805 0.53798783 protein_coding protein coding NA NA ENSG00000262712.1_4 NA NA AC012676.1 0.0285613 0.50935904 sense_intronic IncRNA NA NA ENSG00000118707.9_3 NA NA TGIF2 0.02856528 0.62726825 protein_coding protein coding NA NA ENSG00000115353.10_2 NA NA TACR1 0.028614 0.47069375 protein_coding protein coding NA NA ENSG00000259330.2_2 NA NA INAFM2 0.02863373 −0.61041353 protein_coding protein coding NA NA ENSG00000160710.15_3 NA NA ADAR 0.02873821 0.42627783 protein_coding protein coding NA NA ENSG00000168661.14_2 NA NA ZNF30 0.02878173 −0.73468665 protein_coding protein coding NA NA ENSG00000225697.12_3 NA NA SLC26A6 0.02886317 0.58712641 protein_coding protein coding NA NA ENSG00000106459.14_2 NA NA NRF1 0.02907962 0.46488238 protein_coding protein coding NA NA ENSG00000156026.14_3 NA NA MCU 0.02926131 0.49654612 protein_coding protein coding NA NA ENSG00000101049.14_3 NA NA SGK2 0.02933529 0.46096105 protein_coding protein coding NA NA ENSG00000105993.14_4 NA NA DNAJB6 0.02934859 0.53371293 protein_coding protein coding NA NA ENSG00000068308.13_3 NA NA OTUD5 0.02936706 0.64873684 protein_coding protein coding NA NA ENSG00000068323.16_2 NA NA TFE3 0.02938569 0.6321617 protein_coding protein coding NA NA ENSG00000117114.19_3 NA NA ADGRL2 0.02940192 −0.74128615 protein_coding protein coding NA NA ENSG00000182325.10_3 NA NA FBXL6 0.02944324 0.61355646 protein_coding protein coding NA NA ENSG00000198887.8_3 NA NA SMC5 0.02953163 0.65899161 protein_coding protein coding NA NA ENSG00000211662.2_2 NA NA IGLV3-21 0.02961363 0.49656943 IG_V_gene Ig/TcR NA NA ENSG00000269781.1 NA NA FLJ20306 0.02963678 0.45481473 protein_coding protein coding NA NA ENSG00000169398.19_3 NA NA PTK2 0.02968716 0.56793293 protein_coding protein coding NA NA ENSG00000131408.13_4 NA NA NR1H2 0.02973774 0.54020686 protein_coding protein coding NA NA ENSG00000205544.3_3 NA NA TMEM256 0.02979948 −0.57421628 protein_coding protein coding NA NA ENSG00000129351.17_2 NA NA ILF3 0.0298094 0.71993741 protein_coding protein coding NA NA ENSG00000230532.1_3 NA NA AC091133.1 0.02981658 0.51226564 antisense_RNA IncRNA NA NA ENSG00000153391.15_4 NA NA IN080C 0.02982433 −0.51969079 protein_coding protein coding NA NA ENSG00000163159.12_3 NA NA VPS72 0.02992737 0.49794188 protein_coding protein coding NA NA ENSG00000165813.18_3 NA NA CCDC186 0.03001466 −0.67351419 protein_coding protein coding NA NA ENSG00000103148.15_3 NA NA NPRL3 0.03025878 0.57778166 protein_coding protein coding NA NA ENSG00000183087.14_2 NA NA GAS6 0.03035801 0.59458596 protein_coding protein coding NA NA ENSG00000038427.15_3 NA NA VCAN 0.03035902 0.5683976 protein_coding protein coding NA NA ENSG00000092853.13_2 NA NA CLSPN 0.0303937 0.59111527 protein_coding protein coding NA NA ENSG00000244578.1_2 NA NA LINC01391 0.03042403 0.37145518 lincRNA IncRNA NA NA ENSG00000167632.14_3 NA NA TRAPPC9 0.03043559 0.55692736 protein_coding protein coding NA NA ENSG00000122824.10_3 NA NA NUDT10 0.0304755 0.47636034 protein_coding protein coding NA NA ENSG00000146918.19_2 NA NA NCAPG2 0.03051748 0.5856419 protein_coding protein coding NA NA ENSG00000197548.12_2 NA NA ATG7 0.03052469 0.63709555 protein_coding protein coding NA NA ENSG00000223685.5_2 NA NA LINC00571 0.03054234 −0.64145098 lincRNA IncRNA NA NA ENSG00000162148.10_3 NA NA PPP1R32 0.03055635 0.57852176 protein_coding protein coding NA NA ENSG00000077274.8_2 NA NA CAPN6 0.0306074 −0.68181076 protein_coding protein coding NA NA ENSG00000091164.12_3 NA NA TXNL1 0.0307583 −0.54153075 protein_coding protein coding NA NA ENSG00000169926.10_3 NA NA KLF13 0.03084403 0.63846534 protein_coding protein coding NA NA ENSG00000255404.1_3 NA NA AP001266.1 0.03087777 0.54196312 antisense_RNA IncRNA NA NA ENSG00000151320.10_3 NA NA AKAP6 0.03093006 0.36772803 protein_coding protein coding NA NA ENSG00000106244.12_2 NA NA PDAP1 0.03102961 0.53889713 protein_coding protein coding NA NA ENSG00000157800.17_2 NA NA SLC37A3 0.03104799 0.53419059 protein_coding protein coding NA NA ENSG00000168078.9_2 NA NA PBK 0.03107129 0.50994764 protein_coding protein coding NA NA ENSG00000197037.10_3 NA NA ZSCAN25 0.03112596 0.57798863 protein_coding protein coding NA NA ENSG00000153187.18_3 NA NA HNRNPU 0.03113158 0.56344395 protein_coding protein coding NA NA ENSG00000106344.8_3 NA NA RBM28 0.03118643 0.59429791 protein_coding protein coding NA NA ENSG00000131591.17_3 NA NA C1orf159 0.03120325 0.51051041 protein_coding protein coding NA NA ENSG00000163348.3_3 NA NA PYGO2 0.03122664 0.61647638 protein_coding protein coding NA NA ENSG00000140743.7_3 NA NA CDR2 0.03128813 0.55564709 protein_coding protein coding NA NA ENSG00000034510.5_2 NA NA TMSB10 0.03129879 0.5854406 protein_coding protein coding NA NA ENSG00000107669.17_4 NA NA ATE1 0.03134533 −0.53936205 protein_coding protein coding NA NA ENSG00000182022.17_3 NA NA CHST15 0.03139098 0.58830375 protein_coding protein coding NA NA ENSG00000183751.14_4 NA NA TBL3 0.03146338 0.60465761 protein_coding protein coding NA NA ENSG00000185052.11_2 NA NA SLC24A3 0.03156437 0.53622073 protein_coding protein coding NA NA ENSG00000223478.1_3 NA NA AL441992.1 0.03158544 −0.68373602 antisense_RNA IncRNA NA NA ENSG00000174579.3_3 NA NA MSL2 0.03168839 0.61466546 protein_coding protein coding NA NA ENSG00000169607.12_2 NA NA CKAP2L 0.03169258 0.58289978 protein_coding protein coding NA NA ENSG00000196872.11_3 NA NA KIAA1211L 0.03170648 0.51826052 protein_coding protein coding NA NA ENSG00000261150.2_2 NA NA EPPK1 0.0317162 0.54649816 protein_coding protein coding NA NA ENSG00000238835.1 NA NA SCARNA18 0.03179144 −0.58998216 snoRNA small ncRNA NA NA ENSG00000163655.15_2 NA NA GMPS 0.0318378 0.42027885 protein_coding protein coding NA NA ENSG00000179833.4_2 NA NA SERTAD2 0.03193682 0.61828599 protein_coding protein coding NA NA ENSG00000134460.15_2 NA NA IL2RA 0.03197772 0.53003347 protein_coding protein coding NA NA ENSG00000130479.10_4 NA NA MAP1S 0.03202483 0.62239478 protein_coding protein coding NA NA ENSG00000235706.7_3 NA NA DICER1-AS1 0.03208225 0.53712804 antisense_RNA IncRNA NA NA ENSG00000176890.15_2 NA NA TYMS 0.0321806 0.53896713 protein_coding protein coding NA NA ENSG00000062038.13_3 NA NA CDH3 0.03222895 0.55330419 protein_coding protein coding NA NA ENSG00000168421.12_3 NA NA RHOH 0.03227699 0.46085745 protein_coding protein coding NA NA ENSG00000249992.1_2 NA NA TMEM158 0.0323139 −0.66467183 protein_coding protein coding NA NA ENSG00000044574.7_2 NA NA HSPA5 0.03241937 −0.66685249 protein_coding protein coding NA NA ENSG00000167702.11_2 NA NA KIFC2 0.03242286 0.59978654 protein_coding protein coding NA NA ENSG00000133103.16_2 NA NA COG6 0.03245908 −0.57675894 protein_coding protein coding NA NA ENSG00000000460.16_4 NA NA C1orf112 0.03246371 0.48255064 protein_coding protein coding NA NA ENSG00000158169.12_3 NA NA FANCC 0.03250997 0.52847059 protein_coding protein coding NA NA ENSG00000102034.16_2 NA NA ELF4 0.03252687 0.59392181 protein_coding protein coding NA NA ENSG00000182256.12_3 NA NA GABRG3 0.03261446 −0.61633454 protein_coding protein coding NA NA ENSG00000211599.2_2 NA NA IGKV5-2 0.0326178 0.4868929 IG_V_gene Ig/TcR NA NA ENSG00000259605.3_4 NA NA AC074212.1 0.03262913 0.51776096 processed_transcript IncRNA NA NA ENSG00000251396.6_2 NA NA LINC01301 0.03271698 0.62111249 lincRNA IncRNA NA NA ENSG00000100368.13_4 NA NA CSF2RB 0.0327248 0.64188384 protein_coding protein coding NA NA ENSG00000109906.13_3 NA NA ZBTB16 0.03272982 −0.61047176 protein_coding protein coding NA NA ENSG00000140265.12_2 NA NA ZSCAN29 0.03275739 0.64107047 protein_coding protein coding NA NA ENSG00000163719.19_4 NA NA MTMR14 0.03278164 0.56730472 protein_coding protein coding NA NA ENSG00000099385.11_4 NA NA BCL7C 0.03279602 0.57742923 protein_coding protein coding NA NA ENSG00000225855.6_3 NA NA RUSC1-AS1 0.03282616 0.5274578 antisense_RNA IncRNA NA NA ENSG00000075223.13_2 NA NA SEMA3C 0.03285777 −0.77036466 protein_coding protein coding NA NA ENSG00000152234.15_3 NA NA ATP5A1 0.03289681 −0.53786399 protein_coding protein coding NA NA ENSG00000106089.11_2 NA NA STX1A 0.03295897 0.56963179 protein_coding protein coding NA NA ENSG00000205358.3_2 NA NA MT1H 0.03296089 −0.80474821 protein_coding protein coding NA NA ENSG00000139182.13_2 NA NA CLSTN3 0.03302123 0.62560923 protein_coding protein coding NA NA ENSG00000121067.17_3 NA NA SPOP 0.03310341 −0.59057456 protein_coding protein coding NA NA ENSG00000233937.6_4 NA NA AC008443.1 0.03313742 0.49499538 processed_transcript IncRNA NA NA ENSG00000075131.9_4 NA NA TIPIN 0.0331507 0.59600047 protein_coding protein coding NA NA ENSG00000110057.7_3 NA NA UNC93B1 0.03315464 0.536222 protein_coding protein coding NA NA ENSG00000155506.16_3 NA NA LARP1 0.0331634 0.66754415 protein_coding protein coding NA NA ENSG00000226800.5_3 NA NA CACTIN-AS1 0.03317687 0.54254571 antisense_RNA IncRNA NA NA ENSG00000205808.5_2 NA NA PLPP6 0.03320319 −0.69051084 protein_coding protein coding NA NA ENSG00000167513.8_3 NA NA CDT1 0.033238 0.5956013 protein_coding protein coding NA NA ENSG00000145016.15_4 NA NA RUBCN 0.0332393 0.52278914 protein_coding protein coding NA NA ENSG00000189157.13_4 NA NA FAM47E 0.0332983 0.3883681 protein_coding protein coding NA NA ENSG00000134759.13_2 NA NA ELP2 0.03330987 −0.52221805 protein_coding protein coding NA NA ENSG00000144339.11_2 NA NA TMEFF2 0.03337335 −0.57632137 protein_coding protein coding NA NA ENSG00000162576.16_2 NA NA MXRA8 0.03339802 0.54698244 protein_coding protein coding NA NA ENSG00000105655.18_3 NA NA ISYNA1 0.03341815 0.58813401 protein_coding protein coding NA NA ENSG00000088035.15_2 NA NA ALG6 0.03343025 −0.57706843 protein_coding protein coding NA NA ENSG00000103479.15_3 NA NA RBL2 0.0334551 −0.597125 protein_coding protein coding NA NA ENSG00000156970.12_3 NA NA BUB1B 0.03346272 0.3853645 protein_coding protein coding NA NA ENSG00000082175.14_2 NA NA PGR 0.03348957 −0.58545653 protein_coding protein coding NA NA ENSG00000185591.9_3 NA NA SP1 0.03351015 0.63667745 protein_coding protein coding NA NA ENSG00000160392.13_4 NA NA C19orf47 0.03364576 0.59976512 protein_coding protein coding NA NA ENSG00000156531.16_2 NA NA PHF6 0.03368288 0.48623402 protein_coding protein coding NA NA ENSG00000134072.10_2 NA NA CAMK1 0.03371411 −0.66884809 protein_coding protein coding NA NA ENSG00000092531.9_2 NA NA SNAP23 0.03371987 −0.58969605 protein_coding protein coding NA NA ENSG00000196150.13_3 NA NA ZNF250 0.03373485 0.47950793 protein_coding protein coding NA NA ENSG00000113739.10_2 NA NA STC2 0.03383954 0.46822559 protein_coding protein coding NA NA ENSG00000152503.9_3 NA NA TRIM36 0.03385466 −0.5183856 protein_coding protein coding NA NA ENSG00000105519.15_3 NA NA CAPS 0.03388049 0.53299735 protein_coding protein coding NA NA ENSG00000171812.12_3 NA NA COL8A2 0.03391594 0.52557219 protein_coding protein coding NA NA ENSG00000244122.2_3 NA NA UGT1A7 0.03396237 0.38733385 protein_coding protein coding NA NA ENSG00000158470.5_2 NA NA B4GALT5 0.03396786 0.62225063 protein_coding protein coding NA NA ENSG00000127946.16_3 NA NA HIP1 0.0340329 0.59409422 protein_coding protein coding NA NA ENSG00000104979.8_3 NA NA C19orf53 0.03407719 0.63722372 protein_coding protein coding NA NA ENSG00000243431.1_2 NA NA RPL5P30 0.03408099 −0.54337504 processed_pseudogene pseudogene NA NA ENSG00000143575.14_3 NA NA HAX1 0.03411423 0.55641088 protein_coding protein coding NA NA ENSG00000163635.17_3 NA NA ATXN7 0.03414696 0.5720323 protein_coding protein coding NA NA ENSG00000188747.8_4 NA NA NOXA1 0.03421418 0.59669745 protein_coding protein coding NA NA ENSG00000272634.2_3 NA NA AC103710.2 0.0342554 −0.69041678 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000077454.15_3 NA NA LRCH4 0.03429013 0.60016503 protein_coding protein coding NA NA ENSG00000168491.9_3 NA NA CCDC110 0.03429382 −0.59439189 protein_coding protein coding NA NA ENSG00000111912.19_4 NA NA NCOA7 0.03431553 0.59350338 protein_coding protein coding NA NA ENSG00000145536.15_2 NA NA ADAMTS16 0.03447507 0.54104665 protein_coding protein coding NA NA ENSG00000051341.13_2 NA NA POLQ 0.03452949 0.44124708 protein_coding protein coding NA NA ENSG00000144535.19_3 NA NA DIS3L2 0.03459052 0.55685227 protein_coding protein coding NA NA ENSG00000152931.7_2 NA NA PARTI 0.03460426 −0.70641258 lincRNA IncRNA NA NA ENSG00000170876.7_3 NA NA TMEM43 0.03462507 0.58571825 protein_coding protein coding NA NA ENSG00000163462.17_2 NA NA TRIM46 0.0346284 0.55278855 protein_coding protein coding NA NA ENSG00000163482.11_3 NA NA STK36 0.03466833 0.60380021 protein_coding protein coding NA NA ENSG00000226756.1_3 NA NA AC007365.1 0.03468148 0.4352907 lincRNA IncRNA NA NA ENSG00000214106.7_3 NA NA PAXIP1-AS2 0.03469888 0.55701929 antisense_RNA IncRNA NA NA ENSG00000266865.6_3 NA NA AC138207.8 0.03474231 −0.58277391 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000137221.14_3 NA NA TJAP1 0.03475016 0.60555943 protein_coding protein coding NA NA ENSG00000266094.7_3 NA NA RASSF5 0.03475023 0.54230401 protein_coding protein coding NA NA ENSG00000168010.10_3 NA NA ATG16L2 0.034772 0.59680098 protein_coding protein coding NA NA ENSG00000214078.12_3 NA NA CPNE1 0.03483887 0.57056439 protein_coding protein coding NA NA ENSG00000118257.16_3 NA NA NRP2 0.03495631 0.56280837 protein_coding protein coding NA NA ENSG00000076928.17_3 NA NA ARHGEF1 0.03497853 0.57861561 protein_coding protein coding NA NA ENSG00000111670.14_3 NA NA GNPTAB 0.03498855 0.55917264 protein_coding protein coding NA NA ENSG00000086065.13_2 NA NA CHMP5 0.03502858 −0.58919553 protein_coding protein coding NA NA ENSG00000106266.10_3 NA NA SNX8 0.03504772 0.58094655 protein_coding protein coding NA NA ENSG00000171681.12_3 NA NA ATF7IP 0.03506017 0.51219739 protein_coding protein coding NA NA ENSG00000151148.13_2 NA NA UBE3B 0.03521365 0.62480752 protein_coding protein coding NA NA ENSG00000135632.11_2 NA NA SMYD5 0.03523707 0.57535756 protein_coding protein coding NA NA ENSG00000147655.10_2 NA NA RSPO2 0.03527136 −0.57874969 protein_coding protein coding NA NA ENSG00000122642.10_2 NA NA FKBP9 0.03532173 0.59143127 protein_coding protein coding NA NA ENSG00000254812.1_3 NA NA AC067930.3 0.035337 0.56174321 antisense_RNA IncRNA NA NA ENSG00000119640.8_2 NA NA ACYP1 0.03534903 0.58140735 protein_coding protein coding NA NA ENSG00000241839.9_3 NA NA PLEKHO2 0.03545073 0.57751394 protein_coding protein coding NA NA ENSG00000184838.14_3 NA NA PRR16 0.0354631 0.54578153 protein_coding protein coding NA NA ENSG00000139437.17_3 NA NA TCHP 0.03546918 0.63600397 protein_coding protein coding NA NA ENSG00000138071.13_3 NA NA ACTR2 0.03547089 0.60751723 protein_coding protein coding NA NA ENSG00000178537.9_2 NA NA SLC25A20 0.03547867 −0.55175277 protein_coding protein coding NA NA ENSG00000133247.13_3 NA NA KMT5C 0.03548888 0.49385028 protein_coding protein coding NA NA ENSG00000122861.15_2 NA NA PLAU 0.03553117 0.5794612 protein_coding protein coding NA NA ENSG00000168140.4_2 NA NA VASN 0.03558919 0.57976452 protein_coding protein coding NA NA ENSG00000198169.8_2 NA NA ZNF251 0.03563225 0.47634292 protein_coding protein coding NA NA ENSG00000050130.17_2 NA NA JKAMP 0.03568348 −0.61452964 protein_coding protein coding NA NA ENSG00000140750.16_3 NA NA ARHGAP17 0.03571578 0.64885991 protein_coding protein coding NA NA ENSG00000141293.15_3 NA NA SKAP1 0.03573767 0.5369643 protein_coding protein coding NA NA ENSG00000008710.19_3 NA NA PKD1 0.03576094 0.59020112 protein_coding protein coding NA NA ENSG00000112290.12_3 NA NA WASF1 0.03577085 0.61842092 protein_coding protein coding NA NA ENSG00000169896.16_2 NA NA ITGAM 0.0357972 0.65782861 protein_coding protein coding NA NA ENSG00000183624.13_2 NA NA HMCES 0.03583195 0.59338665 protein_coding protein coding NA NA ENSG00000282851.1_3 NA NA BISPR 0.0358696 0.32801611 lincRNA IncRNA NA NA ENSG00000171574.17_3 NA NA ZNF584 0.0359738 0.53602515 protein_coding protein coding NA NA ENSG00000133624.13_2 NA NA ZNF767P 0.03599314 0.58272625 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000105325.13_2 NA NA FZR1 0.03602921 0.61949309 protein_coding protein coding NA NA ENSG00000242173.8_3 NA NA ARHGDIG 0.03605625 0.44257645 protein_coding protein coding NA NA ENSG00000164855.15_2 NA NA TMEM184A 0.03617302 0.44079354 protein_coding protein coding NA NA ENSG00000133858.15_2 NA NA ZFC3H1 0.03617507 0.60602823 protein_coding protein coding NA NA ENSG00000106617.13_3 NA NA PRKAG2 0.03618112 0.42098512 protein_coding protein coding NA NA ENSG00000236753.5_2 NA NA MKLN1-AS 0.0362039 −0.68411961 processed_transcript IncRNA NA NA ENSG00000102265.11_2 NA NA TIMP1 0.03629698 0.57536167 protein_coding protein coding NA NA ENSG00000163781.12_3 NA NA TOPBP1 0.03632671 0.57010144 protein_coding protein coding NA NA ENSG00000102886.14_2 NA NA GDPD3 0.03639687 0.56233513 protein_coding protein coding NA NA ENSG00000092108.20_4 NA NA SCFD1 0.0364329 −0.57817197 protein_coding protein coding NA NA ENSG00000179097.5_2 NA NA HTR1F 0.03643776 0.35180961 protein_coding protein coding NA NA ENSG00000165271.16_3 NA NA NOL6 0.03652178 0.55446277 protein_coding protein coding NA NA ENSG00000177302.14_3 NA NA TOP3A 0.03655726 0.57838944 protein_coding protein coding NA NA ENSG00000151014.5_2 NA NA NOCT 0.0366118 0.58390988 protein_coding protein coding NA NA ENSG00000086544.2_2 NA NA ITPKC 0.0366138 0.50540905 protein_coding protein coding NA NA ENSG00000129128.12_2 NA NA SPCS3 0.03665849 −0.58623214 protein_coding protein coding NA NA ENSG00000229689.3_3 NA NA AC009237.3 0.03666771 0.47672888 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000260236.1_3 NA NA AC099778.1 0.03668426 0.58933565 antisense_RNA IncRNA NA NA ENSG00000244165.1_3 NA NA P2RY11 0.03669333 0.54623097 protein_coding protein coding NA NA ENSG00000236947.5_3 NA NA AL139412.1 0.03670268 0.54350856 lincRNA IncRNA NA NA ENSG00000181754.6_2 NA NA AMIGO1 0.03671638 −0.58793117 protein_coding protein coding NA NA ENSG00000236756.4_4 NA NA DNAJC9-AS1 0.03672237 0.4893721 antisense_RNA IncRNA NA NA ENSG00000086189.9_2 NA NA DIMT1 0.03674334 −0.54172509 protein_coding protein coding NA NA ENSG00000102738.7_2 NA NA MRPS31 0.03674337 −0.5505947 protein_coding protein coding NA NA ENSG00000111247.14_2 NA NA RAD51AP1 0.03677371 0.60238465 protein_coding protein coding NA NA ENSG00000130813.17_4 NA NA C19orf66 0.03681976 0.53789546 protein_coding protein coding NA NA ENSG00000241158.5_4 NA NA ADAMTS9-AS1 0.03687977 −0.61314211 antisense_RNA IncRNA NA NA ENSG00000172007.5_2 NA NA RAB33B 0.03701568 0.59223109 protein_coding protein coding NA NA ENSG00000138246.15_3 NA NA DNAJC13 0.03703936 0.52785749 protein_coding protein coding NA NA ENSG00000075702.16_3 NA NA WDR62 0.03707026 0.61251575 protein_coding protein coding NA NA ENSG00000213478.2_2 NA NA CFL1P2 0.0370711 0.50698168 processed_pseudogene pseudogene NA NA ENSG00000008517.16_4 NA NA IL32 0.03709991 0.58784403 protein_coding protein coding NA NA ENSG00000049759.17_3 NA NA NEDD4L 0.0371018 −0.5725498 protein_coding protein coding NA NA ENSG00000167749.11_2 NA NA KLK4 0.0371037 −0.58504135 protein_coding protein coding NA NA ENSG00000165782.10_2 NA NA TMEM55B 0.03723996 0.60794413 protein_coding protein coding NA NA ENSG00000196236.12_2 NA NA XPNPEP3 0.03727767 0.56242545 protein_coding protein coding NA NA ENSG00000055147.18_3 NA NA FAM114A2 0.03734111 −0.59324154 protein_coding protein coding NA NA ENSG00000132003.9_3 NA NA ZSWIM4 0.03734693 0.46754301 protein_coding protein coding NA NA ENSG00000140320.11_3 NA NA BAHD1 0.03735441 0.54695579 protein_coding protein coding NA NA ENSG00000113194.12_3 NA NA FAF2 0.03740828 0.52977617 protein_coding protein coding NA NA ENSG00000108771.12_3 NA NA DHX58 0.03749303 0.45864612 protein_coding protein coding NA NA ENSG00000076108.11_2 NA NA BAZ2A 0.03749768 0.61292508 protein_coding protein coding NA NA ENSG00000243766.7_3 NA NA HOTTIP 0.037578 0.5232374 antisense_RNA IncRNA NA NA ENSG00000160908.14_2 NA NA ZNF394 0.0375997 0.42384686 protein_coding protein coding NA NA ENSG00000124496.12_2 NA NA TRERF1 0.03767894 0.54421518 protein_coding protein coding NA NA ENSG00000139514.12_3 NA NA SLC7A1 0.03768051 −0.62765273 protein_coding protein coding NA NA ENSG00000001629.9_3 NA NA ANKIB1 0.03773449 0.52394791 protein_coding protein coding NA NA ENSG00000161013.16_3 NA NA MGAT4B 0.03778612 0.65858823 protein_coding protein coding NA NA ENSG00000135968.20_3 NA NA GCC2 0.03789313 −0.5420816 protein_coding protein coding NA NA ENSG00000163795.13_2 NA NA ZNF513 0.03791077 0.59318218 protein_coding protein coding NA NA ENSG00000106665.15_2 NA NA CLIP2 0.03792052 0.61953486 protein_coding protein coding NA NA ENSG00000099725.14_2 NA NA PRKY 0.0379288 0.58650749 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000100207.18_4 NA NA TCF20 0.03795811 0.61036146 protein_coding protein coding NA NA ENSG00000187017.15_3 NA NA ESPN 0.03796751 0.48584117 protein_coding protein coding NA NA ENSG00000143333.6_2 NA NA RGS16 0.03801061 0.52162389 protein_coding protein coding NA NA ENSG00000132872.11_2 NA NA SYT4 0.03801195 0.45063739 protein_coding protein coding NA NA ENSG00000106086.18_3 NA NA PLEKHA8 0.03804245 0.57572959 protein_coding protein coding NA NA ENSG00000108821.13_3 NA NA COL1A1 0.03808903 0.558091 protein_coding protein coding NA NA ENSG00000104549.11_2 NA NA SQLE 0.0381199 0.59289964 protein_coding protein coding NA NA ENSG00000173207.12_2 NA NA CKS1B 0.03814795 0.55163107 protein_coding protein coding NA NA ENSG00000142208.15_3 NA NA AKT1 0.03819994 0.53762005 protein_coding protein coding NA NA ENSG00000141198.15_4 NA NA TOM1L1 0.03825994 −0.48497264 protein_coding protein coding NA NA ENSG00000198742.9_2 NA NA SMURF1 0.03826761 0.61287012 protein_coding protein coding NA NA ENSG00000213626.11_2 NA NA LBH 0.03828355 0.48347516 protein_coding protein coding NA NA ENSG00000174740.7_3 NA NA PABPC5 0.03830085 −0.61281005 protein_coding protein coding NA NA ENSG00000249307.5_3 NA NA LINC01088 0.03833474 −0.92155985 antisense_RNA IncRNA NA NA ENSG00000054965.10_2 NA NA FAM168A 0.03838686 0.56013619 protein_coding protein coding NA NA ENSG00000196235.13_3 NA NA SUPT5H 0.03840134 0.62808898 protein_coding protein coding NA NA ENSG00000086991.12_2 NA NA NOX4 0.03840551 0.55003108 protein_coding protein coding NA NA ENSG00000106100.10_2 NA NA NOD1 0.03841251 0.4463129 protein_coding protein coding NA NA ENSG00000131652.13_2 NA NA THOC6 0.03841724 0.55593822 protein_coding protein coding NA NA ENSG00000182472.8_3 NA NA CAPN12 0.03848692 0.60215076 protein_coding protein coding NA NA ENSG00000157954.14_2 NA NA WIPI2 0.03857365 0.52618957 protein_coding protein coding NA NA ENSG00000126709.14_2 NA NA IFI6 0.03860355 0.42852386 protein_coding protein coding NA NA ENSG00000186638.16_3 NA NA KIF24 0.03864384 0.55898881 protein_coding protein coding NA NA ENSG00000180182.10_2 NA NA MED14 0.03871232 0.52134285 protein_coding protein coding NA NA ENSG00000106105.13_2 NA NA GARS 0.03871961 0.52805555 protein_coding protein coding NA NA ENSG00000102580.14_3 NA NA DNAJC3 0.03874447 −0.50982922 protein_coding protein coding NA NA ENSG00000134058.11_3 NA NA CDK7 0.03876143 −0.50001611 protein_coding protein coding NA NA ENSG00000269313.5_2 NA NA MAGIX 0.03886288 0.54889672 protein_coding protein coding NA NA ENSG00000132793.11_2 NA NA LPIN3 0.03890605 0.55560149 protein_coding protein coding NA NA ENSG00000104518.10_3 NA NA GSDMD 0.03897151 0.65896529 protein_coding protein coding NA NA ENSG00000043143.20_2 NA NA JADE2 0.03906426 0.57571794 protein_coding protein coding NA NA ENSG00000197822.10_2 NA NA OCLN 0.03908854 0.55081533 protein_coding protein coding NA NA ENSG00000117713.18_3 NA NA ARID1A 0.03910578 0.75128133 protein_coding protein coding NA NA ENSG00000122691.12_3 NA NA TWIST1 0.0391233 0.403622 protein_coding protein coding NA NA ENSG00000177963.14_4 NA NA RIC8A 0.0391581 0.57902592 protein_coding protein coding NA NA ENSG00000144354.13_2 NA NA CDCA7 0.0391659 0.48310391 protein_coding protein coding NA NA ENSG00000105122.12_4 NA NA RASAL3 0.03922798 0.54714839 protein_coding protein coding NA NA ENSG00000008838.19_3 NA NA MED24 0.03923508 0.6123147 protein_coding protein coding NA NA ENSG00000141424.12_3 NA NA SLC39A6 0.03931517 −0.53223222 protein_coding protein coding NA NA ENSG00000136811.16_4 NA NA ODF2 0.03933514 0.52271285 protein_coding protein coding NA NA ENSG00000172572.6_3 NA NA PDE3A 0.03934862 0.44341044 protein_coding protein coding NA NA ENSG00000064763.10_3 NA NA FAR2 0.03944758 0.38986676 protein_coding protein coding NA NA ENSG00000050327.14_3 NA NA ARHGEF5 0.03950889 0.48609309 protein_coding protein coding NA NA ENSG00000067365.14_3 NA NA METTL22 0.03958639 0.52656922 protein_coding protein coding NA NA ENSG00000162493.16_3 NA NA PDPN 0.03958997 0.54440749 protein_coding protein coding NA NA ENSG00000149218.4_2 NA NA ENDOD1 0.03966382 −0.65574584 protein_coding protein coding NA NA ENSG00000147889.17_3 NA NA CDKN2A 0.03968622 0.50247715 protein_coding protein coding NA NA ENSG00000198826.10_3 NA NA ARHGAP11A 0.03974364 0.55330203 protein_coding protein coding NA NA ENSG00000172057.9_3 NA NA ORMDL3 0.03976183 0.59497116 protein_coding protein coding NA NA ENSG00000130827.6_2 NA NA PLXNA3 0.03977412 0.57508259 protein_coding protein coding NA NA ENSG00000187037.8_3 NA NA GPR141 0.03979 0.58946593 protein_coding protein coding NA NA ENSG00000244038.9_4 NA NA DDOST 0.03980095 −0.54122615 protein_coding protein coding NA NA ENSG00000213462.4_3 NA NA ERV3-1 0.03980949 0.50704785 protein_coding protein coding NA NA ENSG00000124920.13_3 NA NA MYRF 0.03981388 0.50260068 protein_coding protein coding NA NA ENSG00000105778.18_2 NA NA AVL9 0.03996632 0.58410736 protein_coding protein coding NA NA ENSG00000108924.13_3 NA NA HLF 0.03996765 −0.62860882 protein_coding protein coding NA NA ENSG00000185730.7_3 NA NA ZNF696 0.04005099 0.52775349 protein_coding protein coding NA NA ENSG00000186312.10_2 NA NA CA5BP1 0.04011527 0.50757144 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000148300.11_2 NA NA REXO4 0.04015416 0.49117655 protein_coding protein coding NA NA ENSG00000160299.16_2 NA NA PCNT 0.04022685 0.61572848 protein_coding protein coding NA NA ENSG00000144909.7_2 NA NA OSBPL11 0.04032208 0.59879644 protein_coding protein coding NA NA ENSG00000168256.17_3 NA NA NKIRAS2 0.04037796 0.61426219 protein_coding protein coding NA NA ENSG00000136159.3_2 NA NA NUDT15 0.04039098 −0.57319084 protein_coding protein coding NA NA ENSG00000130560.8_2 NA NA UBAC1 0.04053632 0.49082535 protein_coding protein coding NA NA ENSG00000012048.20_3 NA NA BRCA1 0.040556 0.397942 protein_coding protein coding NA NA ENSG00000248801.6_3 NA NA C8orf34-AS1 0.04057565 −0.69996779 antisense_RNA IncRNA NA NA ENSG00000186174.12_2 NA NA BCL9L 0.04064385 0.56365557 protein_coding protein coding NA NA ENSG00000141646.13_3 NA NA SMAD4 0.04073871 −0.55178947 protein_coding protein coding NA NA ENSG00000085365.17_2 NA NA SCAMP1 0.04077739 −0.44062788 protein_coding protein coding NA NA ENSG00000159763.3_2 NA NA PIP 0.04079963 0.2591827 protein_coding protein coding NA NA ENSG00000171551.11_2 NA NA ECEL1 0.04084878 0.57947202 protein_coding protein coding NA NA ENSG00000235398.4 NA NA LINC00623 0.04084897 0.5379806 lincRNA IncRNA NA NA ENSG00000213601.3_2 NA NA KRT18P19 0.04089148 −0.6285447 processed_pseudogene pseudogene NA NA ENSG00000149243.15_2 NA NA KLHL35 0.04092809 0.50629791 protein_coding protein coding NA NA ENSG00000227248.1_3 NA NA FAM155A-IT1 0.04093966 0.54522882 sense_intronic IncRNA NA NA ENSG00000163499.11_2 NA NA CRYBA2 0.04117045 0.48371671 protein_coding protein coding NA NA ENSG00000198546.14_3 NA NA ZNF511 0.04117449 −0.54630504 protein_coding protein coding NA NA ENSG00000162889.10_2 NA NA MAPKAPK2 0.04120341 0.53646505 protein_coding protein coding NA NA ENSG00000139433.9_3 NA NA GLTP 0.04120713 0.59343763 protein_coding protein coding NA NA ENSG00000184209.14_3 NA NA SNRNP35 0.04125834 0.60830686 protein_coding protein coding NA NA ENSG00000130487.5_2 NA NA KLHDC7B 0.04130996 0.3897293 protein_coding protein coding NA NA ENSG00000153827.13_3 NA NA TRIP12 0.04139623 0.60363524 protein_coding protein coding NA NA ENSG00000124780.13_2 NA NA KCNK17 0.0414536 0.50376508 protein_coding protein coding NA NA ENSG00000196428.12_2 NA NA TSC22D2 0.04150827 0.54147315 protein_coding protein coding NA NA ENSG00000174943.9_4 NA NA KCTD13 0.04152621 0.47597248 protein_coding protein coding NA NA ENSG00000136546.13_2 NA NA SCN7A 0.04153141 −0.57698206 protein_coding protein coding NA NA ENSG00000143149.12_2 NA NA ALDH9A1 0.04162151 −0.51866797 protein_coding protein coding NA NA ENSG00000119917.13_2 NA NA IFIT3 0.04171614 0.37986948 protein_coding protein coding NA NA ENSG00000157837.15_3 NA NA SPPL3 0.04180783 0.60708774 protein_coding protein coding NA NA ENSG00000160633.12_2 NA NA SAFB 0.04181339 0.54170373 protein_coding protein coding NA NA ENSG00000130175.9_4 NA NA PRKCSH 0.04185154 0.56968592 protein_coding protein coding NA NA ENSG00000205045.8_3 NA NA SLFN12L 0.0418885 0.51474565 protein_coding protein coding NA NA ENSG00000116209.11_3 NA NA TMEM59 0.04191512 −0.54400011 protein_coding protein coding NA NA ENSG00000052126.14_3 NA NA PLEKHA5 0.04194622 0.35401683 protein_coding protein coding NA NA ENSG00000198276.15_3 NA NA UCKL1 0.04195005 0.4996659 protein_coding protein coding NA NA ENSG00000168907.13_2 NA NA PLA2G4F 0.04201467 −0.59745136 protein_coding protein coding NA NA ENSG00000204160.11_3 NA NA ZDHHC18 0.04203698 0.53698059 protein_coding protein coding NA NA ENSG00000139880.19_2 NA NA CDH24 0.04210717 0.5997622 protein_coding protein coding NA NA ENSG00000130589.16_2 NA NA HELZ2 0.04212498 0.52846755 protein_coding protein coding NA NA ENSG00000006194.9_3 NA NA ZNF263 0.04212842 0.53826492 protein_coding protein coding NA NA ENSG00000118507.15_3 NA NA AKAP7 0.04214879 −0.67833933 protein_coding protein coding NA NA ENSG00000178104.19_3 NA NA PDE4DIP 0.04216934 0.54011408 protein_coding protein coding NA NA ENSG00000283703.1_2 NA NA VSIG10L2 0.0421821 0.42866427 protein_coding protein coding NA NA ENSG00000131788.15_3 NA NA PIAS3 0.04222736 0.50213032 protein_coding protein coding NA NA ENSG00000123485.11_3 NA NA HJURP 0.04228382 0.52255575 protein_coding protein coding NA NA ENSG00000008086.11_3 NA NA CDKL5 0.04233167 −0.55202376 protein_coding protein coding NA NA ENSG00000183549.10_2 NA NA ACSM5 0.0423805 0.56976839 protein_coding protein coding NA NA ENSG00000267702.1_4 NA NA AP005131.6 0.04240401 0.46873777 sense_intronic IncRNA NA NA ENSG00000149328.14_2 NA NA GLB1L2 0.04254419 −0.57833784 protein_coding protein coding NA NA ENSG00000133422.12_2 NA NA MORC2 0.04273884 0.56686944 protein_coding protein coding NA NA ENSG00000162910.18_2 NA NA MRPL55 0.042786 0.51801449 protein_coding protein coding NA NA ENSG00000034713.7_2 NA NA GABARAPL2 0.0428148 −0.58444492 protein_coding protein coding NA NA ENSG00000143799.12_2 NA NA PARP1 0.04282997 0.54295465 protein_coding protein coding NA NA ENSG00000133027.17_2 NA NA PEMT 0.04285167 −0.50902847 protein_coding protein coding NA NA ENSG00000171067.10_3 NA NA C11orf24 0.04287143 0.52724913 protein_coding protein coding NA NA ENSG00000144218.18_3 NA NA AFF3 0.04293515 −0.730885 protein_coding protein coding NA NA ENSG00000116863.10_2 NA NA ADPRHL2 0.04295575 0.46980505 protein_coding protein coding NA NA ENSG00000111215.11_4 NA NA PRR4 0.04295881 0.56425937 protein_coding protein coding NA NA ENSG00000101004.14_3 NA NA NINL 0.04301404 0.57699558 protein_coding protein coding NA NA ENSG00000168792.4_2 NA NA ABHD15 0.04302358 0.56245607 protein_coding protein coding NA NA ENSG00000104973.16_3 NA NA MED25 0.04306521 0.4832518 protein_coding protein coding NA NA ENSG00000142002.16_2 NA NA DPP9 0.04312632 0.57617541 protein_coding protein coding NA NA ENSG00000148346.11_3 NA NA LCN2 0.04316169 −0.5399454 protein_coding protein coding NA NA ENSG00000260802.1_3 NA NA LINC00890 0.04322144 −0.57592928 protein_coding protein coding NA NA ENSG00000233708.1_3 NA NA AL512353.2 0.04324239 0.61071193 processed_pseudogene pseudogene NA NA ENSG00000100888.12_3 NA NA CHD8 0.04334097 0.57282941 protein_coding protein coding NA NA ENSG00000122585.7_2 NA NA NPY 0.04334115 −0.57135674 protein_coding protein coding NA NA ENSG00000233155.1_2 NA NA HMGA1P8 0.04351432 0.54579513 processed_pseudogene pseudogene NA NA ENSG00000129521.13_3 NA NA EGLN3 0.04354547 0.58606808 protein_coding protein coding NA NA ENSG00000101951.16_2 NA NA PAGE4 0.04356074 −0.60408378 protein_coding protein coding NA NA ENSG00000182890.4_3 NA NA GLUD2 0.04362604 −0.4741927 protein_coding protein coding NA NA ENSG00000104951.15_3 NA NA IL4I1 0.0437209 0.51125991 protein_coding protein coding NA NA ENSG00000113924.11_3 NA NA HGD 0.04374155 −0.56697834 protein_coding protein coding NA NA ENSG00000185513.14_3 NA NA L3MBTL1 0.04374983 0.47140686 protein_coding protein coding NA NA ENSG00000140406.3_3 NA NA TLNRD1 0.04392099 0.5464601 protein_coding protein coding NA NA ENSG00000007080.10_2 NA NA CCDC124 0.04407284 0.5125001 protein_coding protein coding NA NA ENSG00000174799.10_2 NA NA CEP135 0.04407897 0.46455467 protein_coding protein coding NA NA ENSG00000122515.14_3 NA NA ZMIZ2 0.04411187 0.54527657 protein_coding protein coding NA NA ENSG00000232855.6_4 NA NA AF165147.1 0.04411257 −0.6715272 lincRNA IncRNA NA NA ENSG00000061273.17_3 NA NA HDAC7 0.04411264 0.55292174 protein_coding protein coding NA NA ENSG00000262454.3_3 NA NA MIR193BHG 0.04417005 0.38553562 lincRNA IncRNA NA NA ENSG00000160072.19_2 NA NA ATAD3B 0.04421083 0.55431071 protein_coding protein coding NA NA ENSG00000183647.10_2 NA NA ZNF530 0.04426665 0.54661683 protein_coding protein coding NA NA ENSG00000127084.17_2 NA NA FGD3 0.04433056 0.49516528 protein_coding protein coding NA NA ENSG00000038532.14_3 NA NA CLEC16A 0.04436325 0.5694158 protein_coding protein coding NA NA ENSG00000175115.11_3 NA NA PACS1 0.04440557 0.58024845 protein_coding protein coding NA NA ENSG00000167346.7_4 NA NA MMP26 0.04466268 −0.61223989 protein_coding protein coding NA NA ENSG00000161677.11_3 NA NA JOSD2 0.04466717 0.50866737 protein_coding protein coding NA NA ENSG00000143862.7_2 NA NA ARL8A 0.04471169 0.530022 protein_coding protein coding NA NA ENSG00000148384.12_3 NA NA INPP5E 0.04480854 0.58962395 protein_coding protein coding NA NA ENSG00000132024.17_3 NA NA CC2D1A 0.04482231 0.63114029 protein_coding protein coding NA NA ENSG00000174130.12_3 NA NA TLR6 0.04483143 0.57357253 protein_coding protein coding NA NA ENSG00000125970.11_4 NA NA RALY 0.04486348 0.43257333 protein_coding protein coding NA NA ENSG00000136160.14_3 NA NA EDNRB 0.04487955 −0.57222676 protein_coding protein coding NA NA ENSG00000185800.11_3 NA NA DMWD 0.04488193 0.59912022 protein_coding protein coding NA NA ENSG00000228140.1_3 NA NA AL031283.1 0.04489313 0.44711987 lincRNA IncRNA NA NA ENSG00000247095.2_2 NA NA MIR210HG 0.04495832 0.50077133 lincRNA IncRNA NA NA ENSG00000166801.15_2 NA NA FAM111A 0.04496781 −0.58579673 protein_coding protein coding NA NA ENSG00000101096.19_2 NA NA NFATC2 0.0451015 0.49206752 protein_coding protein coding NA NA ENSG00000196747.4_2 NA NA HIST1H2AI 0.04514272 0.49857988 protein_coding protein coding NA NA ENSG00000165730.14_2 NA NA STOX1 0.04515022 0.48616834 protein_coding protein coding NA NA ENSG00000247137.8_4 NA NA AP000873.2 0.04528315 0.4618239 processed_transcript IncRNA NA NA ENSG00000179241.12_3 NA NA LDLRAD3 0.04535788 −0.56271811 protein_coding protein coding NA NA ENSG00000133106.14_3 NA NA EPSTI1 0.04536644 0.42737373 protein_coding protein coding NA NA ENSG00000162104.9_2 NA NA ADCY9 0.04550633 0.50860777 protein_coding protein coding NA NA ENSG00000205364.3_2 NA NA MT1M 0.04554112 −0.70633092 protein_coding protein coding NA NA ENSG00000087510.6_2 NA NA TFAP2C 0.04561679 0.53075545 protein_coding protein coding NA NA ENSG00000124570.17_2 NA NA SERPINB6 0.0457271 −0.46741214 protein_coding protein coding NA NA ENSG00000072501.17_2 NA NA SMC1A 0.04574525 0.48965376 protein_coding protein coding NA NA ENSG00000146281.5_2 NA NA PM20D2 0.04585028 −0.51741487 protein_coding protein coding NA NA ENSG00000005206.16_1 NA NA SPPL2B 0.04602932 0.4922383 protein_coding protein coding NA NA ENSG00000111252.10_2 NA NA SH2B3 0.04603228 0.55496975 protein_coding protein coding NA NA ENSG00000123240.16_3 NA NA OPTN 0.0460755 0.57981883 protein_coding protein coding NA NA ENSG00000069424.14_2 NA NA KCNAB2 0.04607998 0.49912061 protein_coding protein coding NA NA ENSG00000130299.16_3 NA NA GTPBP3 0.04619261 0.52227955 protein_coding protein coding NA NA ENSG00000260954.1_4 NA NA AL133297.1 0.04634589 0.43653454 sense_intronic IncRNA NA NA ENSG00000018625.14_2 NA NA ATP1A2 0.04634831 −0.56936417 protein_coding protein coding NA NA ENSG00000017427.15_3 NA NA IGF1 0.04635696 −0.74284644 protein_coding protein coding NA NA ENSG00000151136.14_3 NA NA BTBD11 0.04644374 −0.5809721 protein_coding protein coding NA NA ENSG00000120334.15_2 NA NA CENPL 0.04648797 0.53790484 protein_coding protein coding NA NA ENSG00000092051.16_3 NA NA JPH4 0.04649137 −0.61034001 protein_coding protein coding NA NA ENSG00000197894.10_3 NA NA ADH5 0.0465017 −0.70143571 protein_coding protein coding NA NA ENSG00000267311.1_4 NA NA AC007673.1 0.04658554 −0.60529216 lincRNA IncRNA NA NA ENSG00000091140.13_2 NA NA DLD 0.04663836 −0.55382918 protein_coding protein coding NA NA ENSG00000250982.2_2 NA NA GAPDHP35 0.04665766 0.52869039 processed_pseudogene pseudogene NA NA ENSG00000112079.8_3 NA NA STK38 0.04666289 0.58722536 protein_coding protein coding NA NA ENSG00000218891.4_2 NA NA ZNF579 0.04666308 0.60144568 protein_coding protein coding NA NA ENSG00000173391.8_3 NA NA OLR1 0.04668001 0.55903322 protein_coding protein coding NA NA ENSG00000159110.19_3 NA NA IFNAR2 0.04668563 0.56707835 protein_coding protein coding NA NA ENSG00000108561.8_3 NA NA C1QBP 0.04669429 −0.5025373 protein_coding protein coding NA NA ENSG00000123066.7_3 NA NA MED13L 0.0467116 0.57228969 protein_coding protein coding NA NA ENSG00000125386.15_4 NA NA FAM193A 0.0467175 0.62766797 protein_coding protein coding NA NA ENSG00000164050.12_2 NA NA PLXNB1 0.04675889 0.58559944 protein_coding protein coding NA NA ENSG00000198673.10_3 NA NA FAM19A2 0.04675953 0.42397985 protein_coding protein coding NA NA ENSG00000126062.3_2 NA NA TMEM115 0.04676548 0.51179558 protein_coding protein coding NA NA ENSG00000134398.14_3 NA NA ERN2 0.04687199 −0.61102002 protein_coding protein coding NA NA ENSG00000120458.10_2 NA NA MSANTD2 0.04692872 0.49544605 protein_coding protein coding NA NA ENSG00000086696.10_3 NA NA HSD17B2 0.04696399 0.47264587 protein_coding protein coding NA NA ENSG00000206418.3_2 NA NA RAB12 0.04714138 0.5845907 protein_coding protein coding NA NA ENSG00000072210.18_3 NA NA ALDH3A2 0.04715918 −0.57165166 protein_coding protein coding NA NA ENSG00000168137.15_3 NA NA SETD5 0.04719294 0.57375297 protein_coding protein coding NA NA ENSG00000267838.2_3 NA NA AC245884.8 0.04739189 0.53882478 lincRNA IncRNA NA NA ENSG00000264538.6_2 NA NA SUZ12P1 0.04739319 0.57384327 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000091583.10_3 NA NA APOH 0.04743045 0.56873313 protein_coding protein coding NA NA ENSG00000198677.10_2 NA NA TTC37 0.04752254 −0.51002189 protein_coding protein coding NA NA ENSG00000167397.14_3 NA NA VKORC1 0.04773081 0.55606942 protein_coding protein coding NA NA ENSG00000178184.15_2 NA NA PARD6G 0.04776051 −0.4552983 protein_coding protein coding NA NA ENSG00000101181.17_3 NA NA MTG2 0.04776682 0.56153366 protein_coding protein coding NA NA ENSG00000257167.2_3 NA NA TMPO-AS1 0.04781843 0.50991765 antisense_RNA IncRNA NA NA ENSG00000233912.1_4 NA NA AC026202.2 0.04787167 −0.44625109 antisense_RNA IncRNA NA NA ENSG00000187097.12_3 NA NA ENTPD5 0.04805357 −0.5047975 protein_coding protein coding NA NA ENSG00000111906.17_2 NA NA HDDC2 0.04807816 −0.53242322 protein_coding protein coding NA NA ENSG00000144504.15_3 NA NA ANKMY1 0.0480971 0.53418947 protein_coding protein coding NA NA ENSG00000105552.14_3 NA NA BCAT2 0.04811552 −0.54705531 protein_coding protein coding NA NA ENSG00000127511.9_3 NA NA SIN3B 0.04811868 0.52642679 protein_coding protein coding NA NA ENSG00000101447.14_2 NA NA FAM83D 0.04814142 0.54128309 protein_coding protein coding NA NA ENSG00000171747.8_2 NA NA LGALS4 0.04815057 0.5938642 protein_coding protein coding NA NA ENSG00000064309.14_2 NA NA CDON 0.04822183 0.44030631 protein_coding protein coding NA NA ENSG00000148926.9_3 NA NA ADM 0.04826237 0.55779992 protein_coding protein coding NA NA ENSG00000105401.8_3 NA NA CDC37 0.04830573 0.63501101 protein_coding protein coding NA NA ENSG00000115267.5_2 NA NA IFIH1 0.04845119 0.44418828 protein_coding protein coding NA NA ENSG00000138834.12_3 NA NA MAPK8IP3 0.04851911 0.50530052 protein_coding protein coding NA NA ENSG00000139354.10_3 NA NA GAS2L3 0.04872508 0.6039567 protein_coding protein coding NA NA ENSG00000021645.18_3 NA NA NRXN3 0.04875823 0.40128402 protein_coding protein coding NA NA ENSG00000187626.8_2 NA NA ZKSCAN4 0.04876599 0.5800227 protein_coding protein coding NA NA ENSG00000115145.9_2 NA NA STAM2 0.0487912 −0.51159246 protein_coding protein coding NA NA ENSG00000183808.11_3 NA NA RBM12B 0.04889183 0.53061673 protein_coding protein coding NA NA ENSG00000118960.12_3 NA NA HS1BP3 0.04889829 0.57519798 protein_coding protein coding NA NA ENSG00000103876.11_3 NA NA FAH 0.048913 −0.48497157 protein_coding protein coding NA NA ENSG00000084463.7_2 NA NA WBP11 0.04892519 0.30467623 protein_coding protein coding NA NA ENSG00000181192.11_3 NA NA DHTKD1 0.04895084 −0.55680905 protein_coding protein coding NA NA ENSG00000144401.14_2 NA NA METTL21A 0.04895981 0.54089188 protein_coding protein coding NA NA ENSG00000237517.9_3 NA NA DGCR5 0.04896895 0.46269673 transcribed_unprocessed_pseudogene pseudogene NA NA ENSG00000007047.14_3 NA NA MARK4 0.04897541 0.57531786 protein_coding protein coding NA NA ENSG00000196547.14_3 NA NA MAN2A2 0.04902171 0.54576327 protein_coding protein coding NA NA ENSG00000129007.14_3 NA NA CALML4 0.04906841 0.25954899 protein_coding protein coding NA NA ENSG00000125885.13_4 NA NA MCM8 0.04909925 0.5351483 protein_coding protein coding NA NA ENSG00000182798.10_3 NA NA MAGEB17 0.04913351 0.50405791 protein_coding protein coding NA NA ENSG00000263155.5_4 NA NA MYZAP 0.04922239 −0.62757901 protein_coding protein coding NA NA ENSG00000130595.18_4 NA NA TNNT3 0.04930545 0.42088156 protein_coding protein coding NA NA ENSG00000011451.17_3 NA NA WIZ 0.04930998 0.64671945 protein_coding protein coding NA NA ENSG00000164932.12_2 NA NA CTHRC1 0.04939095 0.53741685 protein_coding protein coding NA NA ENSG00000103485.17_3 NA NA QPRT 0.04943368 0.57076633 protein_coding protein coding NA NA ENSG00000070047.11_2 NA NA PHRF1 0.0494507 0.62648941 protein_coding protein coding NA NA ENSG00000197329.11_2 NA NA PELI1 0.04947151 0.53479379 protein_coding protein coding NA NA ENSG00000141030.12_2 NA NA COPS3 0.04953633 −0.48640871 protein_coding protein coding NA NA ENSG00000260646.1_3 NA NA AL031705.1 0.04957859 0.42489016 lincRNA IncRNA NA NA ENSG00000269893.6_2 NA NA SNHG8 0.04958736 −0.53530914 lincRNA IncRNA NA NA ENSG00000161999.11_3 NA NA JMJD8 0.04963484 0.53759098 protein_coding protein coding NA NA ENSG00000157404.15_2 NA NA KIT 0.04974377 −0.55979066 protein_coding protein coding NA NA ENSG00000189143.9_3 NA NA CLDN4 0.04981994 0.53849259 protein_coding protein coding NA NA ENSG00000184343.10_3 NA NA SRPK3 0.04996185 0.45050678 protein_coding protein coding NA NA ENSG00000149599.15_3 NA NA DUSP15 0.04998761 −0.56279629 protein_coding protein coding NA NA ENSG00000166823.5_2 NA NA MESP1 0.0499955 −0.57562016 protein_coding protein coding NA NA NA XLOC_158557 TCONS_00321576 NA 0.00063265 −0.85954611 unknown unknown chr4: 42211109- + 42265231 NA XLOC_158557 TCONS_00321584 NA 0.00063265 −0.85954611 unknown unknown chr4: 42228967- + 42265231 NA XLOC_158557 TCONS_00321573 NA 0.00063265 −0.85954611 unknown unknown chr4: 42211109- + 42216388 NA XLOC_158557 TCONS_00321575 NA 0.00063265 −0.85954611 unknown unknown chr4: 42211109- + 42241657 NA XLOC_158557 TCONS_00321570 NA 0.00063265 −0.85954611 unknown unknown chr4: 42198942- + 42202448 NA XLOC_158557 TCONS_00321571 NA 0.00063265 −0.85954611 unknown unknown chr4: 42198942- + 42257631 NA XLOC_158557 TCONS_00321574 NA 0.00063265 −0.85954611 unknown unknown chr4: 42211109- + 42241657 NA XLOC_135891 TCONS_00276376 NA 0.00738972 0.54994332 unknown unknown chr21: 43194288- + 43196469 NA XLOC_135891 TCONS_00276371 NA 0.00738972 0.54994332 unknown unknown chr21: 43187323- + 43188248 NA XLOC_135891 TCONS_00276374 NA 0.00738972 0.54994332 unknown unknown chr21: 43188304- + 43196469 NA XLOC_135891 TCONS_00276372 NA 0.00738972 0.54994332 unknown unknown chr21: 43187331- + 43188248 NA XLOC_135891 TCONS_00276373 NA 0.00738972 0.54994332 unknown unknown chr21: 43187331- + 43196469 NA XLOC_189524 TCONS_00369677 NA 0.00841318 0.47487523 unknown unknown chr5: 171232932- − 171273023 NA XLOC_189524 TCONS_00369682 NA 0.00841318 0.47487523 unknown unknown chr5: 171245243- − 171273768 NA XLOC_016951 TCONS_00034988 NA 0.01444182 0.30819622 unknown unknown chr1: 184609513- − 184641539 NA XLOC_016951 TCONS_00034995 NA 0.01444182 0.30819622 unknown unknown chr1: 184630780- − 184641517 NA XLOC_016951 TCONS_00034994 NA 0.01444182 0.30819622 unknown unknown chr1: 184630780- − 184641517 NA XLOC_016951 TCONS_00034993 NA 0.01444182 0.30819622 unknown unknown chr1: 184630780- − 184641517 NA XLOC_016951 TCONS_00034997 NA 0.01444182 0.30819622 unknown unknown chr1: 184630780- − 184641539 NA XLOC_016951 TCONS_00034996 NA 0.01444182 0.30819622 unknown unknown chr1: 184630780- − 184641539 NA XLOC_078679 TCONS_00149490 NA 0.01922875 0.4277114 unknown unknown chr15: 39739241- − 39745702 NA XLOC_078679 TCONS_00149485 NA 0.01922875 0.4277114 unknown unknown chr15: 39723736- − 39742486 NA XLOC_078679 TCONS_00149486 NA 0.01922875 0.4277114 unknown unknown chr15: 39723736- − 39756740 NA XLOC_040861 TCONS_00078963 NA 0.01948539 0.47758274 unknown unknown chr11: 65573119- − 65585707 NA XLOC_040861 TCONS_00078961 NA 0.01948539 0.47758274 unknown unknown chr11: 65573119- − 65585564 NA XLOC_040861 TCONS_00078962 NA 0.01948539 0.47758274 unknown unknown chr11: 65573119- − 65585700 NA XLOC_026322 TCONS_00049915 NA 0.02299877 0.46586538 unknown unknown chr10: 5502171- − 5503506 NA XLOC_026322 TCONS_00049916 NA 0.02299877 0.46586538 unknown unknown chr10: 5502171- − 5508933 NA XLOC_139458 TCONS_00284385 NA 0.02787765 0.54352809 unknown unknown chr22: 18550412- − 18554051 NA XLOC_139458 TCONS_00284386 NA 0.02787765 0.54352809 unknown unknown chr22: 18550412- − 18554092 NA XLOC_006945 TCONS_00014671 NA 0.02841858 0.62274863 unknown unknown chr1: 184081741- + 184091687 NA XLOC_006945 TCONS_00014676 NA 0.02841858 0.62274863 unknown unknown chr1: 184088054- + 184091687 NA XLOC_006945 TCONS_00014675 NA 0.02841858 0.62274863 unknown unknown chr1: 184088054- + 184090586 NA XLOC_158075 TCONS_00320769 NA 0.02902115 0.3794339 unknown unknown chr4: 28291298- + 28338123 NA XLOC_158075 TCONS_00320776 NA 0.02902115 0.3794339 unknown unknown chr4: 28331251- + 28338123 NA XLOC_158075 TCONS_00320773 NA 0.02902115 0.3794339 unknown unknown chr4: 28325274- + 28327442 NA XLOC_158075 TCONS_00320774 NA 0.02902115 0.3794339 unknown unknown chr4: 28325336- + 28338123 NA XLOC_104865 TCONS_00216430 NA 0.03236359 0.38550281 unknown unknown chr19: 1246354- − 1248318 NA XLOC_231989 TCONS_00441345 NA 0.03730235 0.31955139 unknown unknown chr8: 116193990- − 116268841 NA XLOC_231989 TCONS_00441344 NA 0.03730235 0.31955139 unknown unknown chr8: 116193990- − 116268841 NA XLOC_199739 TCONS_00385636 NA 0.03764499 0.52991976 unknown unknown chr6: 6798930- − 6801406 NA XLOC_199739 TCONS_00385630 NA 0.03764499 0.52991976 unknown unknown chr6: 6789200- − 6794121 NA XLOC_199739 TCONS_00385629 NA 0.03764499 0.52991976 unknown unknown chr6: 6789200- − 6791151 NA XLOC_030880 TCONS_00057388 NA 0.03943907 0.29095279 unknown unknown chr10: 11327672 − 1-113547691 NA XLOC_030880 TCONS_00057476 NA 0.03943907 0.29095279 unknown unknown chr10: 11354407 − 4-113545772 NA XLOC_179726 TCONS_00354238 NA 0.04077875 −0.62583334 unknown unknown chr5: 141445047- + 141448212 NA XLOC_179726 TCONS_00354237 NA 0.04077875 −0.62583334 unknown unknown chr5: 141445047- + 141448212 NA XLOC_178755 TCONS_00352176 NA 0.04082666 0.40504836 unknown unknown chr5: 119537531- + 119556211 NA XLOC_178755 TCONS_00352185 NA 0.04082666 0.40504836 unknown unknown chr5: 119780114- + 119797371 NA XLOC_246301 TCONS_00463215 NA 0.04435218 0.43241447 unknown unknown chr9: 122548013- − 122554542 NA XLOC_246301 TCONS_00463216 NA 0.04435218 0.43241447 unknown unknown chr9: 122550827- − 122554542 NA XLOC_131963 TCONS_00269355 NA 0.04540418 −0.59131818 unknown unknown chr20: 58611186- + 58630270 NA XLOC_131963 TCONS_00269354 NA 0.04540418 −0.59131818 unknown unknown chr20: 58611186- + 58630270 NA XLOC_222230 TCONS_00424987 NA 0.04601354 0.44829888 unknown unknown chr8: 23935040- + 24020985 NA XLOC_086821 TCONS_00170694 NA 0.04712453 −0.73895783 unknown unknown chr16: 63188093- − 63213039

TABLE 3 ProstaTrend bcrTime ID score biochemicalRecurrence (days) X53eacf69.b50d.4050.af83.d4a9aa5605df 0.01266451 FALSE 805 c6172d43.6f62.420b.a22f.9f28673e561d −0.01119452 FALSE 4604 f42884a2.7a05.4cac.985c.b5488cb32bdb −0.05386046 FALSE 518 X140c214a.c5db.4580.b9eb.c25f9d69211e −0.21978053 FALSE 554 X68dba1a6.5a69.490d.8d92.be2bc0828df3 −0.24622512 FALSE 1184 c13bfc0c.de93.4904.8f0a.7d63a4e46831 −0.03114551 FALSE 1384 X4c61943c.702d.4d0b.9f38.2997c5deb0ae 0.09244066 FALSE 182 ab2bdcca.6c49.434d.bc7b.5e89708dd627 0.17446423 FALSE 995 c827acc6.8c94.4e2f.9eeb.283cc2476060 −0.11350905 FALSE 145 X1cc487f4.6a5e.4402.8ddf.85346c71ddf8 0.04215859 FALSE 1014 f5516033.4759.440c.bc7f.d561bd6305f7 −0.03024049 FALSE 1338 b187472a.04ab.4991.b5c3.ea17d62f3a88 0.26566694 FALSE 3253 X83fd57c2.d699.485f.b39c.6a8998285ff1 −0.13597635 FALSE 417 X0169b0f8.d12e.4944.ae8c.7141347cd461 0.3666697 FALSE 709 X8d787c3d.11ec.4e12.b722.ca78a9b2c50e −0.00788842 FALSE 170 f8b69065.5dc8.4392.915b.1bc3c6059725 0.12038141 FALSE 1195 f96498cc.5436.46ff.9c1c.73cbf078d079 0.10768653 FALSE 882 X50b59441.8f4d.4ec1.a410.3c7b1567dfca −0.07915654 FALSE 324 f76af4bc.b7da.4e4c.9158.6988094fb4b7 −0.04643407 FALSE 295 X9f7c22a6.eaad.4842.b5aa.2248d4286789 0.09182014 FALSE 637 f88fcf42.cadb.4be3.a09d.ba20c2247823 0.22984177 FALSE 972 a316b78d.a63b.4616.b3cc.2d3618134f89 0.02655875 TRUE 786 X09790590.7ae1.45db.9a0b.9e9e1c93854d −0.22038374 FALSE 2056 X083b4b88.d288.4ca1.b52e.14dfcea758b6 −0.18768493 FALSE 452 X9a3ae902.21d1.404a.9799.ab707618458d 0.32291743 FALSE 589 X449c910a.9493.477f.bb3e.2d281e8d8ded −0.13339255 FALSE 397 X9cdcffcc.1ed6.400e.be79.aeb54ec3c99c 0.03262865 FALSE 110 e8e9a0ac.6ce8.4698.9daf.d7b4478915b1 0.43773787 FALSE 686 b18d28f5.bade.4225.b2bf.4534410cbc1e 0.04834977 FALSE 2364 X931af2bf.3f7c.4d3c.ba4b.3bbb30bd1e2a 0.12314357 TRUE 752 X723b8d9f.4f37.4081.849e.caa060f298d1 −0.12599414 FALSE 848 X196d6e43.c916.48ce.a58a.843ef13005f5 0.09272478 FALSE 1259 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FALSE 1501 X1768ed1c.76c3.4992.816d.bf0bcd8fb331 0.12297607 TRUE 218 X86409fcc.d962.41d6.87cf.6db35eb7be2b 0.10558817 TRUE 473 ccd746e5.7974.49e4.befe.05f4ef1f5ed9 −0.02274617 FALSE 270 X5d392f6c.d936.479a.9991.53902919b63f 0.15836444 TRUE 1376 ddb80bec.78e0.403d.8f14.131d0d32cf11 −0.1990645 FALSE 285 d742eebc.242b.4c5e.8429.7d67b6173e79 0.07410416 FALSE 263 d0f9a9c1.433f.4c56.91b8.ea8381eb0cc7 −0.1319643 FALSE 671 d6b8349b.d829.4b8b.90b9.0e5900b90492 −0.11545964 FALSE 917 X0af86aba.8244.4a90.ba34.33e2331d0ab2 −0.20141912 TRUE 189 X1e2261f6.1053.47dd.8128.afb3d34729fa −0.16246971 FALSE 162 X80aa8fed.1d46.4e3c.b93d.8ac1b778b6a6 −0.13243066 FALSE 972 X56b1d8a7.1827.43ae.a08d.6f8419fc5fd0 −0.00746181 FALSE 1001 b0a12dfa.fb35.4b78.9886.47354d0f521e −0.30394208 FALSE 273 X90c1a5fd.552c.4edf.a51f.99f6dc57554d −0.20861707 FALSE 486 X8e1c619f.9c79.4968.8d13.f457f83ea840 0.00027337 FALSE 459 cbccf354.b6fa.41cb.8ff6.d1b380e501aa −0.11229769 FALSE 176 X2240eb93.791a.4d1e.b89e.5e483fa3e9f5 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0.01417046 FALSE 842 X824d450d.96e6.4ecd.9193.1cb47f4df83b 0.22843474 FALSE 1439 a94003bb.555d.4a61.8b2b.8125021c7553 −0.03767007 FALSE 1253 X6c7a4e11.b60a.4d87.9e7b.8a5093b49114 −0.15770873 FALSE 617 X0ecbfe7c.9fc5.4aa7.ad19.7a4bbaebe2bc 0.09006177 FALSE 1386 X2ed28850.36e0.4d48.96b8.416dabf57984 0.0370126 TRUE 204 bdde7040.da1e.4f55.ad80.8da448282338 0.025278 FALSE 868 X796ae53c.6829.4c91.9aaa.61c965b4b863 −0.12766592 FALSE 1491 X3cba8225.e66a.4b7d.a2c9.781c5cf15c39 −0.10008482 TRUE 353 X3dc6bae7.099f.4794.8583.f8903935305a −0.03115484 FALSE 1280 X2ad19836.1d07.4809.bc19.ffb71d812a69 −0.03453954 TRUE 75 X0f0c68db.cfb7.4017.9248.00410688a4cc −0.02495689 FALSE 518 da7a39df.730d.4653.8543.3792626b4e68 0.07642164 FALSE 178 X31a4ac16.5eea.429a.929d.7bf445cd354d 0.03341471 FALSE 662 a4a420c8.a195.4077.b621.6f8bfa02b39b −0.16391971 FALSE 476 X9a24c74d.c93d.4feb.a999.cc657988cf59 0.02011091 FALSE 1891 ab801648.fc2d.4c26.a0c3.942273627406 −0.0010796 FALSE 788 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a48c1dbe.2163.4470.98e9.c638718f0fc7 0.37467788 FALSE 295 b6b04c56.a41c.4d0b.82fa.76252407995a −0.13605918 FALSE 213 X64da5efc.47be.491d.b4b7.f0ae25b78f76 0.11584841 FALSE 2183 X054a65fd.419f.442f.85da.e89f03ac2e88 −0.20597569 FALSE 44 b3b5d7e6.6ac1.4342.a4bf.aed2d834cb49 0.06564918 FALSE 774 X581d16c4.038b.4d23.a989.e3455cc35f3c −0.14443141 FALSE 212 c4fb0452.2639.4021.b2ce.95647639b346 −0.04909162 FALSE 762 X1ab5ef46.4053.4f02.91d1.26541619140c 0.22748963 FALSE 422 X21c2cf99.21bf.4a0d.a312.19f312cd0f89 −0.07968765 FALSE 66 X02662f3c.f7ea.4251.bec8.f4ed6bdd1ff5 −0.17519749 FALSE 731 a0aac555.a15c.42d4.affa.a1ce5886dba8 −0.02768208 FALSE 52 X2cd0d540.55d2.4cf0.a734.71a6713c459a −0.15656836 FALSE 922 d4a4473e.3095.4461.aee2.8844f1470b27 −0.09225461 FALSE 122 X1b3ecd57.0440.47fc.8239.a6cd02ff3c1f −0.13713943 FALSE 104 X5ddaa9cb.f3a4.4e7b.8ed7.1d25820ece22 0.07211542 TRUE 196 X218b3a45.cf88.4c93.93ef.f80e1812dcdc −0.0124331 FALSE 60 X33af60a6.4c1c.4dcf.abd2.7af4ab4b4b34 0.18640179 FALSE 2859 X7d8cb922.946f.440c.b8d7.45cfe1bcd917 −0.1260385 FALSE 2553 e0e4b5db.6cc9.436c.be9b.ffc9a049069a −0.10107394 FALSE 1247 X8b522062.7dc5.4e57.83c0.10007bb55c9a −0.04481944 FALSE 54 X04b39224.14f5.47a9.b6b4.b5ab0c03765c 0.52900438 TRUE 124 X30f911b6.5bff.4a11.ac31.a786d672c9bc 0.21747442 TRUE 679 X31b45ace.34b1.491b.a926.7731df03b8da 0.12369733 FALSE 1690 X62eef687.e0d6.4232.a550.f62f10d373fb −0.06880172 FALSE 352 X7219d88d.e73b.4e2b.9da6.43b8ab38c046 0.44358403 TRUE 170 d8779603.a18c.478e.a381.5ac204e9bc69 −0.05427177 FALSE 204 ddc6fa19.cb88.4fbe.a049.f671fee34f6b 0.0610405 FALSE 287 a3fd7f43.14e5.4dd8.9fa7.4b0084c0b047 0.09831684 FALSE 2040 X1e6ba6f2.9ed4.422a.99a1.3c9f5c30c658 0.01251773 FALSE 1780 cbf92875.c4c1.48ac.9d39.6aff23ce6967 −0.10349731 FALSE 394 X6866332e.ed55.4549.94cf.3c748ae2860e 0.05700412 FALSE 3524

TABLE 4 ID score DoD Time RIB0034827 −0.05789742 TRUE 5.75 RIB0034830 −0.0927188 FALSE 7.5 RIB0034227 0.157458 FALSE 15.17 RIB0034207 −0.05751573 FALSE 17.67 RIB0034226 −0.29029778 FALSE 11.83 RIB0034303 0.43112756 FALSE 7.5 RIB0034370 0.02653453 TRUE 2.17 RIB0034373 −0.16865389 FALSE 13.5 RIB0034340 −0.19655314 FALSE 11.42 RIB0034372 0.15830856 FALSE 16.08 RIB0034383 −0.0477193 FALSE 14 RIB0034385 0.33226352 TRUE 2.25 RIB0034321 −0.30761114 FALSE 9.83 RIB0034483 −0.2038041 FALSE 11.5 RIB0034457 −0.27047346 FALSE 11.17 RIB0034485 0.16136275 TRUE 5.67 RIB0034486 0.09473917 FALSE 10.08 RIB0034477 −0.01601988 FALSE 13.83 RIB0034448 −0.03331082 TRUE 4.5 RIB0034471 −0.31611722 FALSE 11.25 RIB0034491 0.59098609 TRUE 3 RIB0034942 −0.06342756 FALSE 9.42 RIB0034986 0.2157573 TRUE 11.83 RIB0034913 0.40795809 TRUE 2.58 RIB0034496 −0.04660878 FALSE 9 RIB0034489 −0.0612437 FALSE 10.42 RIB0034434 −0.10203968 FALSE 10.58 RIB0034497 −0.16136283 FALSE 16.17 RIB0034798 −0.01599411 FALSE 12.5 RIB0034731 0.16176971 TRUE 5.83 RIB0034702 −0.11889468 FALSE 9.75 RIB0034918 0.48671153 TRUE 4.92 RIB0034224 0.18108529 FALSE 16 RIB0034214 0.01867188 FALSE 18.5 RIB0034271 −0.08930621 FALSE 15.58 RIB0034258 0.05696045 FALSE 14.67 RIB0034239 0.17545716 TRUE 7.17 RIB0034276 0.19644116 TRUE 3.92 RIB0034235 −0.00710036 FALSE 15 RIB0034299 −0.15984869 FALSE 15.67 RIB0034812 −0.01306805 FALSE 9.33 RIB0034875 0.32007422 FALSE 9.92 RIB0034780 −0.32837208 FALSE 5.42 RIB0034794 0.35669265 FALSE 8.5 RIB0034779 −0.21654543 FALSE 8.42 RIB0034777 −0.03040986 FALSE 7.67 RIB0034767 −0.07727856 TRUE 7.5 RIB0034886 −0.1670564 FALSE 10.33 RIB0034733 −0.14612466 TRUE 7.5 RIB0034776 −0.16581573 FALSE 10.75 RIB0034772 0.02472629 FALSE 9.25 RIB0034759 −0.08672834 FALSE 11 RIB0034783 0.19991793 FALSE 10.17 RIB0034841 0.04298723 FALSE 9.83 RIB0034822 0.02622539 FALSE 9.33 RIB0034826 0.00416608 FALSE 9.58 RIB0034819 −0.04877873 FALSE 9.17 RIB0034818 −0.13179823 FALSE 9.92 RIB0034821 −0.00089025 FALSE 6.5 RIB0034864 0.09761921 FALSE 9.75 RIB0034810 −0.00591527 FALSE 6.92 RIB0034900 −0.02190402 FALSE 8.25 RIB0034254 0.1615697 FALSE 14.83 RIB0034269 −0.19527884 FALSE 14.42 RIB0034282 −0.29878035 FALSE 13.17 RIB0034233 0.17694829 FALSE 7.75 RIB0034274 −0.12017116 FALSE 15.75 RIB0034289 0.18938624 FALSE 10.92 RIB0034242 0.03209577 FALSE 14.5 RIB0034208 0.00586279 FALSE 14.58 RIB0034202 0.54033332 TRUE 3 RIB0034312 −0.23324581 FALSE 7.17 RIB0034388 0.0331019 FALSE 14.42 RIB0034361 −0.05486132 FALSE 15.17 RIB0034353 0.01057841 FALSE 11.25 RIB0034378 0.07011301 FALSE 9 RIB0034360 0.03752312 FALSE 9.67 RIB0034392 −0.04338172 FALSE 10.67 RIB0034356 −0.24279187 FALSE 10.08 RIB0034359 −0.15776497 FALSE 11.5 RIB0034320 0.1625773 FALSE 11.33 RIB0034390 −0.06606545 FALSE 11.92 RIB0034377 0.08598428 TRUE 4.5 RIB0034323 −0.06391046 TRUE 13.08 RIB0034315 −0.02720597 FALSE 8.08 RIB0034342 −0.05660906 FALSE 14.58 RIB0034306 0.02515252 FALSE 15.83 RIB0034387 −0.09241328 FALSE 11.75 RIB0034459 0.15011723 FALSE 15.42 RIB0034326 −0.01080281 FALSE 9.33 RIB0034479 −0.02030004 FALSE 12.17 RIB0034458 −0.26975921 FALSE 9.75 RIB0034484 −0.11303634 FALSE 10.75 RIB0034422 0.43178883 TRUE 11.33 RIB0034500 −0.18991177 FALSE 11.33 RIB0034425 −0.03325826 FALSE 8.33 RIB0034475 −0.33124847 FALSE 10.25 RIB0034423 0.03256894 FALSE 9.58 RIB0034432 −0.17597713 FALSE 8.58 RIB0034478 −0.28777526 FALSE 11 RIB0034462 0.09348845 FALSE 11.17 RIB0034429 0.03320036 TRUE 9.17 RIB0034408 −0.19825076 FALSE 14.42 RIB0034428 −0.0927142 FALSE 9.67 RIB0034450 0.0894301 FALSE 9.25 RIB0034480 −0.03457921 FALSE 7.75 RIB0034966 −0.13038993 FALSE 10.92 RIB0034989 −0.0143567 FALSE 9.92 RIB0034904 −0.02259085 FALSE 9.25 RIB0034959 −0.34784808 FALSE 8.58 RIB0034976 0.08573291 FALSE 9.5 RIB0034961 −0.39381562 FALSE 9 RIB0034964 −0.10067456 FALSE 15.5 RIB0034905 0.04200649 FALSE 9.92 RIB0034951 −0.06248583 FALSE 9.83 RIB0034936 −0.24486439 FALSE 9.33 RIB0034464 0.21390358 TRUE 8.08 RIB0034470 −0.00212083 FALSE 9.42 RIB0034469 0.24416094 TRUE 1.75 RIB0034455 0.13190175 FALSE 8.83 RIB0034415 0.11077901 FALSE 11.25 RIB0034414 −0.09734744 FALSE 12.67 RIB0034403 −0.23660935 FALSE 10.17 RIB0034409 −0.25741511 FALSE 9.67 RIB0034401 −0.18702123 FALSE 8.25 RIB0034756 −0.0698472 FALSE 8.5 RIB0034711 −0.11427597 FALSE 7.83 RIB0034727 −0.00501315 TRUE 14.83 RIB0034762 0.0289554 FALSE 7.17 RIB0034747 −0.33187558 FALSE 7.75 RIB0034751 0.20623219 FALSE 11.75 RIB0034736 0.27911479 FALSE 9.58 RIB0034729 −0.12219397 FALSE 7.5 RIB0034683 −0.17262447 FALSE 8.83 RIB0034914 −0.07394617 FALSE 12.33 RIB0034880 −0.12808717 FALSE 10.08 RIB0034849 0.05472914 FALSE 7.58 RIB0034882 −0.27831219 FALSE 11.25 RIB0034858 0.34480312 TRUE 4.75 RIB0034878 −0.17058148 FALSE 9.92 RIB0034833 0.05538858 FALSE 9.08 RIB0034984 0.31767099 FALSE 11.08 RIB0034972 −0.05405458 FALSE 10.5 RIB0034979 0.10648813 FALSE 9.5 RIB0034985 −0.20125755 FALSE 8.67 RIB0034946 −0.16743797 FALSE 10.5 RIB0034944 0.10402747 FALSE 7.58 RIB0034927 −0.2178406 TRUE 4.92 RIB0034954 −0.36889795 FALSE 9.08 RIB0034956 −0.14408289 FALSE 9.92 RIB0034916 0.07529848 FALSE 7.5 RIB0034983 0.00829798 FALSE 11 RIB0034938 0.41425397 TRUE 4.5 RIB0034921 −0.09130398 FALSE 7.67 RIB0034928 0.25300678 FALSE 10.42 RIB0034957 −0.2598783 FALSE 8.08 RIB0034939 −0.20514336 FALSE 5.75 RIB0034941 −0.1629562 FALSE 11.25 RIB0034998 −0.15290247 FALSE 7.5 RIB0034204 0.02026786 FALSE 16.33 RIB0034297 −0.0406671 FALSE 16.25 RIB0034244 −0.13457864 FALSE 17.33 RIB0034265 −0.23422099 FALSE 14 RIB0034223 −0.30002604 FALSE 14.08

TABLE 5 logHR [95% CI] p-value univariate ProstaTrend 4.11 [2.38-5.84] 3.3e−06 PSA 0.38 [−0.05-0.80] 0.084 (log scale) Gleason Grading 2.53 [1.11-3.95] 0.0005 (RP GG>3) Pathological stage 2.46 [1.03-3.88] 0.0007 (stage>T3) pN 1.05 [0.27-1.83] 0.008 Age 0.04 [−0.01-0.08] 0.14 (continious) Resection status 0.53 [−0.08-1.14] 0.09 (R+) pairwise ProstaTrend 3.59 [1.74-5.44] 0.0001 PSA 0.36 [−0.05-0.77] 0.087 ProstaTrend 2.58 [0.64-4.52] 0.009 Gleason GG>3 2.09 [0.62-3.55] 0.005 ProstaTrend 3.01 [1.20-4.82] 0.001 Pathological stage 2.11 [0.67-3.55] 0.004 ProstaTrend 3.35 [1.41-5.28] 0.0007 pN 0.55 [−0.27-1.37] 0.19 ProstaTrend 3.99 [2.23-5.75] 9.1e−06 Age 0.02 [−0.03-0.06] 0.50 ProstaTrend 3.98 [2.19-5.76] 1.2e−05 Resection status 0.21 [−0.43-0.84] 0.52 complex model ProstaTrend 2.00 [0.01-3.98] 0.049 Gleason score 1.65 [0.16-3.14] 0.030 Pathological stage 1.76 [0.31-3.21] 0.017 

1. A method for predicting the outcome or classifying the disease of a prostate carcinoma patient, the method comprising the steps of: a) obtaining a sample from said patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least 50 different target nucleic acid sequences, wherein each of the at least 50 different target nucleic acid sequences is identical to the nucleic acid sequence of a corresponding specific transcript or isoform of a reference gene selected from the group of reference genes listed in Table 2, c) normalizing of the target nucleic acid sequence abundancies against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid using a corresponding reference value, wherein said abundancy of the target nucleic acids is weighted by the logHR value of a corresponding reference gene listed in Table 2, wherein the nucleic acid sequence of said reference gene, or of a transcript or isoform thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences from said sample, and e) calculating a score value, wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence.
 2. The method according to claim 1, wherein the score value for said patient is calculated by using the abundancies of said target nucleic acid sequences in said sample to calculate expression values for all corresponding reference genes in said sample, and wherein for each reference gene the abundancies of all target nucleic sequences that are identical to the nucleic acid sequence of at least one or more transcripts and/or isoforms of said reference gene are summarized for each said reference gene, and wherein for each patient k the median over the weighted standardized gene expression values of all reference genes selected for said calculation g, is calculated applying: score_(k) Median(logHRi*gi), and wherein the weight for each significant gene/is the estimated univariate log hazard ratio (logHR) from the Cox regression meta-analysis of a training cohort to account for the direction of the prognostic effect of said gene/as well as for the effect size, and wherein a normalization of said gene expression values is done cohort-wise, if a set of samples from the same cohort is provided, or, in case of a single sample, an add-on normalization with respect to the normalized gene expression values of the training cohort is conducted, and wherein a negative value of said score characterizes said patient with lower risk of an adverse prognosis and/or death of disease and an increased chance of extended biochemical recurrence-free and/or death of disease-free survival, and a positive value of said score characterizes said patient with a higher risk of an adverse prognosis and/or death of disease and an decreased chance of extended biochemical recurrence-free and/or death of disease-free survival.
 3. The method according to claim 1, wherein the number of said specific reference genes used to calculate said score and selected from the genes listed in Table 2 with an identical nucleic acid sequence to at least one of said target nucleic acid sequences from said sample is from the range of 50-1396.
 4. The method according to claim 1, wherein said nucleic acid analysis comprises the sequential use of one or more techniques selected from the group of reverse transcription, microarray analysis, DNA sequencing, Next Generation Sequencing, NanoString Hyb & Seq NGS analysis, nCounter-analysis, nanopore sequencing, third-generation sequencing, Sanger sequencing, digital or droplet PCR analysis, quantitative real-time PCR analysis, PCR amplification, RNA sequencing, DNA sequencing, Whole Genome Sequencing, Whole Exome Sequencing, Single Cell Sequencing, Targeted Sequencing, spatial sequencing, ATAC-Seq and ChIP-Seq.
 5. The method according to claim 1, wherein said patient is a human patient, an animal or a cell culture of a patient-derived sample of a human patient, of an animal or an animal model, of a sample from an “organ-on-a-chip” model, a sample from a microphysiological system, of a cell line or an organoid.
 6. The method according to claim 1, wherein the sample is selected from the group consisting of an organ, a tissue, a biopsy, a liquid biopsy, a blood sample, a patient derived xenograft sample, of a sample from an “organ-on-a-chip” model, of a sample from a microphysiological system, of a cell line or a cell culture of a patient-derived sample of a human patient, an animal or an animal model, a cell line or an organoid.
 7. A method for use in the treatment of prostate cancer, the method comprising the steps of: a) obtaining a sample from a patient, wherein the sample comprises a plurality of nucleic acids, b) analyzing the plurality of nucleic acids, thereby determining the abundancy of at least 50 different target nucleic acid sequences, wherein each of the at least 50 different target nucleic acid sequences is identical to the nucleic acid sequence of a corresponding specific transcript or isoform of a reference gene selected from the group of reference genes listed in Table 2, c) normalizing of the target nucleic acid sequence abundancies against a reference dataset and standardization, d) weighting the abundancy of the at least one or more different target nucleic acid sequences using a corresponding reference value, wherein said abundancy of the target nucleic acids is weighted by the logHR value of a corresponding reference gene listed in Table 2, wherein the nucleic acid sequence of said reference gene, or of a transcript or isoform thereof, is identical to the nucleic acid sequence of one or more of said target nucleic acid sequences from said sample and calculating a score value, and wherein the outcome or classification of the disease of a prostate carcinoma patient from whom said sample was derived is predicted based on said score value, and wherein, if the score value is above a threshold value of 0, the patient is classified as having a high risk of death of disease and/or biochemical recurrence and/or if the score value is below a threshold value of 0, the patient is classified as having a low risk of death of disease and/or biochemical recurrence. 